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Reproducibility Librarian

Reproducibility Librarian? Yes, That Should Be Your Next Job

https://www.jove.com/blog/2017/10/27/reproducibility-librarian-yes-that-should-be-your-next-job/
Vicky Steeves (@VickySteeves) is the first Research Data Management and Reproducibility Librarian
Reproducibility is made so much more challenging because of computers, and the dominance of closed-source operating systems and analysis software researchers use. Ben Marwick wrote a great piece called ‘How computers broke science – and what we can do to fix it’ which details a bit of the problem. Basically, computational environments affect the outcome of analyses (Gronenschild et. al (2012) showed the same data and analyses gave different results between two versions of macOS), and are exceptionally hard to reproduce, especially when the license terms don’t allow it. Additionally, programs encode data incorrectly and studies make erroneous conclusions, e.g. Microsoft Excel encodes genes as dates, which affects 1/5 of published data in leading genome journals.
technology to capture computational environments, workflow, provenance, data, and code are hugely impactful for reproducibility.  It’s been the focus of my work, in supporting an open source tool called ReproZip, which packages all computational dependencies, data, and applications in a single distributable package that other can reproduce across different systems. There are other tools that fix parts of this problem: Kepler and VisTrails for workflow/provenance, Packrat for saving specific R packages at the time a script is run so updates to dependencies won’t break, Pex for generating executable Python environments, and o2r for executable papers (including data, text, and code in one).
plugin for Jupyter notebooks), and added a user interface to make it friendlier to folks not comfortable on the command line.

I would also recommend going to conferences:

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more on big data in an academic library in this IMS blog
academic library collection data visualization

https://blog.stcloudstate.edu/ims/2017/10/26/software-carpentry-workshop/

https://blog.stcloudstate.edu/ims?s=data+library

more on library positions in this IMS blog:
https://blog.stcloudstate.edu/ims?s=big+data+library
https://blog.stcloudstate.edu/ims/2016/06/14/technology-requirements-samples/

on university library future:
https://blog.stcloudstate.edu/ims/2014/12/10/unviersity-library-future/

librarian versus information specialist

 

digital assessment session for SCSU faculty

please consider the following opportunities:

  1. Remote attendance through : https://webmeeting.minnstate.edu/collaborate
  2. Recording of the session: (URL will be shared after the session)
  3. Request a follow up meeting for your individual project: https://doodle.com/digitalliteracy

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more on digital assessment in this IMS blog
https://blog.stcloudstate.edu/ims?s=edpuzzle

digital assessment

Unlocking the Promise of Digital Assessment

By Stacey Newbern Dammann, EdD, and Josh DeSantis October 30, 2017

https://www.facultyfocus.com/articles/teaching-with-technology-articles/unlocking-promise-digital-assessment/

The proliferation of mobile devices and the adoption of learning applications in higher education simplifies formative assessment. Professors can, for example, quickly create a multi-modal performance that requires students to write, draw, read, and watch video within the same assessment. Other tools allow for automatic grade responses, question-embedded documents, and video-based discussion.

  • Multi-Modal Assessments – create multiple-choice and open-ended items that are distributed digitally and assessed automatically. Student responses can be viewed instantaneously and downloaded to a spreadsheet for later use.
    • (socrative.com) and
    • Poll Everywhere (http://www.pollev.com).
    • Formative (http://www.goformative.com) allows professors to upload charts or graphic organizers that students can draw on with a stylus. Formative also allows professors to upload document “worksheets” which can then be augmented with multiple-choice and open-ended questions.
    • Nearpod (http://www.nearpod.com) allows professors to upload their digital presentations and create digital quizzes to accompany them. Nearpod also allows professors to share three-dimensional field trips and models to help communicate ideas.
  • Video-Based Assessments – Question-embedded videos are an outstanding way to improve student engagement in blended or flipped instructional contexts. Using these tools allows professors to identify if the videos they use or create are being viewed by students.
    • EdPuzzle (edpuzzle.com) and
    • Playposit (http://www.playposit.com) are two leaders in this application category. A second type of video-based assessment allows professors to sustain discussion-board like conversation with brief videos.
    • Flipgrid (http://www.flipgrid.com), for example, allows professors to posit a video question to which students may respond with their own video responses.
  • Quizzing Assessments – ools that utilize close-ended questions that provide a quick check of student understanding are also available.
    • Quizizz (quizizz.com) and
    • Kahoot (http://www.kahoot.com) are relatively quick and convenient to use as a wrap up to instruction or a review of concepts taught.

Integration of technology is aligned to sound formative assessment design. Formative assessment is most valuable when it addresses student understanding, progress toward competencies or standards, and indicates concepts that need further attention for mastery. Additionally, formative assessment provides the instructor with valuable information on gaps in their students’ learning which can imply instructional changes or additional coverage of key concepts. The use of tech tools can make the creation, administration, and grading of formative assessment more efficient and can enhance reliability of assessments when used consistently in the classroom. Selecting one that effectively addresses your assessment needs and enhances your teaching style is critical.

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more on digital assessment in this IMS blog
https://blog.stcloudstate.edu/ims/2017/03/15/fake-news-bib/

Software Carpentry Workshop

Minnesota State University Moorhead – Software Carpentry Workshop

https://www.eventbrite.com/e/minnesota-state-university-moorhead-software-carpentry-workshop-registration-38516119751

Reservation code: 680510823  Reservation for: Plamen Miltenoff

Hagen Hall – 600 11th St S – Room 207 – Moorhead

pad.software-carpentry.org/2017-10-27-Moorhead

http://www.datacarpentry.org/lessons/

https://software-carpentry.org/lessons/

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Friday

Jeff – certified Bash Python, John

http://bit.do/msum_swc

https://ntmoore.github.io/2017-10-27-Moorhead/

what is shall and what does it do. language close to computers, fast.

what is “bash” . cd, ls

shell job is a translator between the binory code, the middle name. several types of shells, with slight differences. one natively installed on MAC and Unix. born-again shell

bash commands: cd change director, ls – list; ls -F if it does not work: man ls (manual for LS); colon lower left corner tells you can scrool; q for escape; ls -ltr

arguments is colloquially used with different names. options, flags, parameters

cd ..  – move up one directory .      pwd : see the content      cd data_shell/   – go down one directory

cd ~  – brings me al the way up .        $HOME (universally defined variable

the default behavior of cd is to bring to home directory.

the core shall commands accept the same shell commands (letters)

$ du -h .     gives me the size of the files. ctrl C to stop

$ clear . – clear the entire screen, scroll up to go back to previous command

man history $ history $! pwd (to go to pwd . $ history | grep history (piping)

$ cat (and the file name) – standard output

$ cat ../

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how to edit and delete files

to create new folder: $ mkdir . – make directory

text editors – nano, vim (UNIX text editors) .      $ nano draft.txt .  ctrl O (save) ctr X (exit) .
$ vim . shift  esc (key)  and in command line – wq (write quit) or just “q”

$ mv draft.txt ../data . (move files)

to remove $ rm thesis/:     $ man rm

copy files       $cp    $ touch . (touches the file, creates if new)

remove $ rm .    anything PSEUDO is dangerous   Bash profile: cp -i

*- wild card, truncate       $ ls analyzed      (list of the analyized directory)

stackoverflow web site .

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head command .  $head basilisk.day (check only the first several lines of a large file

$ for filename in basilisk.dat unicorn.dat . (making a loop = multiline)

> do (expecting an action) do

> head -n 3 $filename . (3 is for the first three line of the file to be displayed and -n is for the number)

> done

for doing repetitive functions

also

$ for filename in *.dat ; do head -n 3$x; done

$ for filename in *.dat ; do echo $filename do head -n 3$x; done

$ echo $filename (print statement)

how to loop

$ for filename in *.dat ; do echo $filename ; echo head -n 3 $filename ; done

ctrl c or apple comd dot to get out of the loop

http://swcarpentry.github.io/shell-novice/02-filedir/

also

$ for filename in *.dat

> do

> $filename

> head -n  10 (first ten files ) $filename | tail  -n 20 (last twenty lines)

$ for filename  in *.dat

do
>> echo  $filename
>> done

$ for filename in *.dat
>> do
>> cp $filename orig_$filename
>>done\

history > something else

$ head something.else

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another function: word count

$ wc *.pdb  (protein databank)

$ head cubane.pdb

if i don;t know how to read the outpun $ man wc

the difference between “*” and “?”

$ wc -l *.pdb

$

wc -l *.pdb > lenghts.txs

cat lenghts.txt

$ for fil in *.txt
>>> do
>>> wc -l $fil

by putting a $ sign use that not the actual text.

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nano middle.sh . The entire point of shell is to automate

$ bash (exectubale) to run the program middle.sh

rwx – rwx – rwx . (owner – group -anybody)

bash middle.sh

$ file middle.sh

$path .

$ echo $PATH | tr “:” “\n”

/usr/local/bin

/usr/bin

/bin

/usr/sbin

/sbin

/Applications/VMware Fusion.app/Contents/Public

/usr/local/munki

$ export PATH=$PWD:$PATH

(this is to make sure that the last version of Python is running)

$ ls ~ . (hidden files)        

$ ls -a ~

$ touch .bach_profile .bashrc

$history | grep PATH

   19   echo $PATH

   44  echo #PATH | tr “:” “\n”

   45   echo $PATH | tr “:” “\n”

   46   export PATH=$PWD:$PATH

   47  echo #PATH | tr “:” “\n”

   48   echo #PATH | tr “:” “\n”

   55  history | grep PATH

 

wc -l “$@” | sort -n ($@  – encompasses eerything. will process every single file in the list of files

 

$ chmod (make it executable)

 

$ find . -type d . (find only directories, recursively, ) 

$ find . -type f (files, instead of directories)

$ find . -name ‘*.txt’ . (find files by name, don’t forget single quotes)

$ wc -l $(find . -name ‘*.txt’)  – when searching among direcories on different level

$ find . -name ‘*.txt’ | xargs wc -l    –  same as above ; two ways to do one and the same

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Saturday

Python

Link to the Python Plotting : https://swcarpentry.github.io/python-novice-gapminder

C and C++. scripting purposes in microbiology (instructor). libraries, packages alongside Python, which can extend its functionality. numpy and scipy (numeric and science python). Python for academic libraries?

going out of python $ quit () .      python expect beginning and end parenthesis

new terminal needed after installation. anaconda 5.0.1

python 3 is complete redesign, not only an update.

http://swcarpentry.github.io/python-novice-gapminder/setup/

jupyter crashes in safari. open in chrome. spg engine maybe

https://swcarpentry.github.io/python-novice-gapminder/01-run-quit/

to start python in the terminal $ python

>> variable = 3

>> variable +10

several data types.

stored in JSON format.

command vs edit code.  code cell is the gray box. a text cell is plain text

markdown syntax. format working with git and github .  search explanation in https://swcarpentry.github.io/python-novice-gapminder/01-run-quit/

hackMD https://hackmd.io/ (use your GIthub account)

PANDOC – translates different data formats. https://pandoc.org/

print is a function

in what cases i will run my data trough Python instead of SPSS?

python is a 0 based language. starts counting with 0 – Java, C, P

atom_name = ‘helium ‘
print(atom_name[0])                  string slicing and indexing is tricky

atom_name = ‘helium ‘
print(atom_name[0:6])
vs
atom_name = ‘helium ‘
print(atom_name[7])                python does not know how to slice it
synthax of python is        start : end : countby/step
string versus list .   string is in a single quote, list will have brakets
strings allow me to work not only w values, revers the string
atom_name = ‘helium lithium beryllium’
print(atom_name[::-1])
muillyreb muihtil muileh
Atom_name = ‘helium’
len (atom_name)                                     6 .             case sensitive
to clean the memory, restart the kernel
objects in Python have different types. adopt a class, value may have class inherent in its defintion
print (type(’42’)) .   Python tells me that it is a string
print (type(42)) .    tells e it is a string
LaTex
to combine integer and letter: print (str(1) + ‘A’)
converting a string to integer . : print (1 + int(’55’)) .    all the same type
translation table. numerical representation of a string
float
print (‘half is’, 1 / 2.0)
built in functions and help
print is a function, lenght is a function (len); type, string, int, max, round,
Python does not explain well why the code breaks
ASCI character set – build in Python conversation
libraries – package: https://swcarpentry.github.io/python-novice-gapminder/06-libraries/
function “import”
 Saturdady afternoon
reading .CSV in Python
http://swcarpentry.github.io/python-novice-gapminder/files/python-novice-gapminder-data.zip
**For windows users only: set up git https://swcarpentry.github.io/workshop-template/#git 
python is object oriented and i can define the objects
python creates its own types of objects (which we model) and those are called “DataFrame”
method applied it is an attribute to data that already exists. – difference from function
data.info() . is function – it does not take any arguments
whereas
data.columns . is a method
print (data.T) .  transpose.  not easy in Excel, but very easy in Python
print (data.describe()) .
/Users/plamen_local/anaconda3/lib/python3.6/site-packages/pandas/__init__.py
%matplotlib inline teling Jupyter notebook

import pandas

data = pandas.read_csv(‘/Users/plamen_local/Desktop/data/gapminder_gdp_oceania.csv’ , index_col=’country’)
data.loc[‘Australia’].plot()
plt.xticks(rotation=10)

GD plot 2 is the most well known library.

xelatex is a PDF engine.  reST restructured text like Markdown.  google what is the best PDF engine with Jupyter

four loops .  any computer language will have the concept of “for” loop. In Python: 1. whenever we create a “for” loop, that line must end with a single colon

2. indentation.  any “if” statement in the “for” loop, gets indented

academic dishonesty plagiarism in the digital age

Ercegovac, Z., & Richardson, J. J. (2004). Academic Dishonesty, Plagiarism Included, in the Digital Age: A Literature Review. College & Research Libraries65(4), 301-318.

http://login.libproxy.stcloudstate.edu/login?qurl=http%3a%2f%2fsearch.ebscohost.com%2flogin.aspx%3fdirect%3dtrue%26db%3dllf%26AN%3d502931540%26site%3dehost-live%26scope%3dsite

what constitutes plagiarism, how prevalent plagiarism is in our schools, colleges, and society, what is done to prevent and reduce plagiarism, the attitudes of faculty toward academic dishonesty in general, and individual differences as predictors of academic dishonesty

the interdisciplinary nature of the topic and the ethical challenges of accessing and using information technology, especially in the age of the Internet. Writings have been reported in the literatures of education, psychology, and library and information studies, each looking at academic dishonesty from different perspectives. The literature has been aimed at instructors and scholars in education and developmental psychology, as well as college librarians and school media specialists.

Although the literature appears to be scattered across many fields, standard dictionaries and encyclopedias agree on the meaning of plagiarism.

According to Webster’s, plagiarism is equated with kidnapping and defined as “the unauthorized use of the language and thoughts of another author and the representation of them as one’s own.”(FN10) The Oxford English Dictionary defines plagiarism as the “wrongful appropriation or purloining, and publication as one’s own, of the ideas, or the expression of the ideas (literary, artistic, musical, mechanical, etc.).”(

plagiarism is an elusive concept and has been treated differently in different contexts.

different types of plagiarism: direct plagiarism; truncation (where strings are deleted in the beginning or ending); excision (strings are deleted from the middle of sentences); insertions; inversions; substitutions; change of tense, person, number, or voice; undocumented factual information; inappropriate use of quotation marks; or paraphrasing.

defined plagiarism as a deliberate use of “someone else’s language, ideas, or other original (not common-knowledge) material without acknowledging its source.”(FN30) This definition is extended to printed and digital materials, manuscripts, and other works. Plagiarism is interrelated to intellectual property, copyright, and authorship, and is discussed from the perspective of multiculturalism.(FN31)

Jeffrey Klausman made three distinctions among direct plagiarism, paraphrase plagiarism, and patchwork plagiarism

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Cosgrove, J., Norelli, B., & Putnam, E. (2005). Setting the Record Straight: How Online Database Providers Are Handling Plagiarism and Fabrication Issues. College & Research Libraries66(2), 136-148.

http://login.libproxy.stcloudstate.edu/login?qurl=http%3a%2f%2fsearch.ebscohost.com%2flogin.aspx%3fdirect%3dtrue%26db%3dllf%26AN%3d502949739%26site%3dehost-live%26scope%3dsite

None of the database providers used links for corrections. Although it is true that the structure of a particular database (LexisNexis, for instance) may make static links more difficult to create than appending corrections, it is a shame that the most elemental characteristic of online resources–the ability to link–is so underutilized within the databases themselves.

Finding reliable materials using online databases is difficult enough for students, especially undergraduates, without having to navigate easily fixed pitfalls. The articles in this study are those most obviously in need of a correction or a link to a correction–articles identified by the publications themselves as being flawed by error, plagiarism, or fabrication. Academic librarians instruct students to carefully evaluate the literature in their campuses’ database resources. Unfortunately, it is not practical to expect undergraduate students to routinely search at the level necessary to uncover corrections and retractions nor do librarians commonly have the time to teach those skills.

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more on academic dishonesty, plagiarism in this IMS blog
https://blog.stcloudstate.edu/ims?s=academic+dishonesty

effective presentations and AR

SORRY, POWERPOINT: THE SLIDE DECK OF THE FUTURE WILL BE IN AR

https://www.wired.com/story/prezi-augmented-reality/
augmented reality takeover. It’s played out at Snapchat and Facebook, at Google and Apple. Companies are using AR to design carssell furniture, make little digital sharks swim around your breakfast table. What if Prezi could apply that same technology to make better presentations?
the product isn’t ready for a public launch yet. Prezi has enlisted a select group of influencers to try out the AR tools and offer feedback before the company releases a beta version.

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more on effective presentations in this IMS blog
https://blog.stcloudstate.edu/ims?s=effective+presentations

altmetrics library Lily Troia

Taking Altmetrics to the Next Level in Your Library’s Systems and Services

Instructor: Lily Troia, Engagement Manager, Altmetric
October 31, 2017, 1:00 pm – 2:30 pm Central time

Register here, courses are listed by date

This 90 minute webinar will bring participants up to speed on the current state of altmetrics, and focus in on changes across the scholarly ecosystem. Through sharing of use cases, tips, and open discussion, this session will help participants to develop a nuanced, strategic framework for incorporating and promoting wider adoption of altmetrics throughout the research lifecycle at their institution and beyond.

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https://www.force11.org/sites/default/files/d7/presentation/1/fsci_mt9_altmetrics_day1.pdf

Definition by National Information Standards Organization NISO (http://www.niso.org/home/): Altmetrics is a broad term that encapsulates the digital collection, creation, and use of multiple forms of assessment that are derived from activity and engagement among diverse stakeholders and scholarly outputs in the research ecosystem.”

Altmetrics are data that help us understand how often and by whom research objects are discussed, shared, and used on the social Web.”

PlumX Metrics – Plum Analytics

Altmetric Explorer

https://www.altmetric.com/login.php

How are researchers & institutions using Altmetric?

  • Research and evaluation services – Identify & track influential research; assess impact & reach
  • Grants and reporting – Target new grants & grantees; demonstrate value to stakeholders
  • Communications and reputation management – Track press/social media; connect to opinion leaders
  • Marketing and promotion – Highlight vital findings; benchmark campaigns and outreach
  • Collaboration and partnerships – Discover disciplinary intersections & collaborative opportunities

DISCOVERY • Find trending research • Unearth conversations among new audiences • Locate collaborators & research opportunities • Identify key opinion leaders • Uncover disciplinary intersection

SHOWCASING • Identifying research to share • Share top mentions • Impact on public policy • Real-time tracking • Identifying key researchers • Recognizing early-career researchers

REPORTING • Grant applications • Funder reporting • Impact requirements • Reputation management • Benchmarking and KPIs (Key performance indicators) • Recruitment & review • Integration into researcher profiles/repositories

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https://www.force11.org/sites/default/files/d7/presentation/1/fsci_mt9_altmetrics_day_2.pdf

https://www.force11.org/sites/default/files/d7/presentation/1/fsci_mt9_altmetrics_fridaysummary.pptx

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more on altmetrics in the library in this IMS blog
https://blog.stcloudstate.edu/ims?s=altmetrics+library

digital curation

Digital Curation: Definitions, Tools, and Strategies de David Kelly

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Digital Curation: What kind of curator are you? #converge11 from Joyce Seitzinger

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Engaging higher education tools via digital curation from Australian Digital Futures Institute

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http://digitalcuration.umaine.edu/

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Unger on digital curation
https://blog.stcloudstate.edu/ims/2016/12/06/digital-curation/

more on digital storytelling in this IMS blog
https://blog.stcloudstate.edu/ims?s=digital+storytelling

more on data literacy in this IMS blog
https://blog.stcloudstate.edu/ims/2017/09/19/scopus-webinar/

Robert Paxton

The Cultural Axis

The Nazi-Fascist New Order for European Culture

by Benjamin G. Martin
Harvard University Press, 370 pp., $39.95
“When I hear the word ‘culture,’ I reach for my revolver.”
Kultur, he explains (along with Bildung, or education), denoted in pre-unification Germany those qualities that the intellectuals and professionals of the small, isolated German middle class claimed for themselves in response to the disdain of the minor German nobles who employed them: intellectual achievement, of course, but also simple virtues like authenticity, honesty, and sincerity.
German courtiers, by contrast, according to the possessors of Kultur, had acquired “civilization” from their French tutors: manners, social polish, the cultivation of appearances. As the German middle class asserted itself in the nineteenth century, the particular virtues of Kultur became an important ingredient in national self-definition. The inferior values of “civilization” were no longer attributed to an erstwhile French-educated German nobility, but to the French themselves and to the West in general.
By 1914, the contrast between Kultur and Zivilisation had taken on a more aggressively nationalist tone. During World War I German patriotic propaganda vaunted the superiority of Germany’s supposedly rooted, organic, spiritual Kultur over the allegedly effete, shallow, cosmopolitan, materialist, Jewish-influenced “civilization” of Western Europe. Martin’s book shows how vigorously the Nazis applied this traditional construct.
Goebbels and Hitler were as obsessed with movies as American adolescents are today with social media.
Music was a realm that Germans felt particularly qualified to dominate. But first the German national musical scene had to be properly organized. In November 1933 Goebbels offered Richard Strauss the leadership of a Reich Music Chamber.
Goebbels organized in Düsseldorf in 1938 a presentation of “degenerate music” following the better-known 1937 exhibition of “degenerate art.”
As with music, the Nazis were able to attract writers outside the immediate orbit of the Nazi and Fascist parties by endorsing conservative literary styles against modernism, by mitigating copyright and royalty problems, and by offering sybaritic visits to Germany and public attention.
Painting and sculpture, curiously, do not figure in this account of the cultural fields that the Nazis and Fascists tried to reorganize “inter-nationally,” perhaps because they had not previously been organized on liberal democratic lines. Picasso and Kandinsky painted quietly in private and Jean Bazaine organized an exhibition with fellow modernists in 1941. Nazi cultural officials thought “degenerate” art appropriate for France.
Science would have made an interesting case study, a contrary one. Germany dominated the world of science before 1933. Germans won fifteen Nobel Prizes in physics, chemistry, and physiology or medicine between 1918 and 1933, more than any other nation. Far from capitalizing on this major soft power asset, Hitler destroyed it by imposing ideological conformity and expelling Jewish scientists such as the talented nuclear physicist Lise Meitner. The soft power of science is fragile, as Americans may yet find out.
American soft power thrived mostly through the profit motive and by offering popular entertainment to the young.

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The Original Axis of Evil

THE ANATOMY   OF FASCISM By Robert O. Paxton. 321 pp. New York: Alfred A. Knopf. $26.

fascism — unlike Communism, socialism, capitalism or conservatism — is a smear word more often used to brand one’s foes than it is a descriptor used to shed light on them.

World War I and the Bolshevik Revolution of 1917 contributed mightily to the advent of fascism. The war generated acute economic malaise, national humiliation and legions of restive veterans and unemployed youths who could be harnessed politically. The Bolshevik Revolution, but one symptom of the frustration with the old order, made conservative elites in Italy and Germany so fearful of Communism that anything — even fascism — came to seem preferable to a Marxist overthrow.

Paxton debunks the consoling fiction that Mussolini and Hitler seized power. Rather, conservative elites desperate to subdue leftist populist movements ”normalized” the fascists by inviting them to share power. It was the mob that flocked to fascism, but the elites who elevated it.

Fascist movements and regimes are different from military dictatorships and authoritarian regimes. They seek not to exclude, but rather to enlist, the masses. They often collapse the distinction between the public and private sphere (eliminating the latter). In the words of Robert Ley, the head of the Nazi Labor Office, the only private individual who existed in Nazi Germany was someone asleep.

t was this need to keep citizens intoxicated by fascism’s dynamism that made Mussolini and Hitler see war as both desirable and necessary. ”War is to men,” Mussolini insisted, ”as maternity is to women.”

For every official American attempt to link Islamic terrorism to fascism, there is an anti-Bush protest that applies the fascist label to Washington’s nationalist rhetoric, assault on civil liberties and warmaking.

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Is Fascism Back?

https://www.project-syndicate.org/onpoint/is-fascism-back-by-robert-o–paxton-2016-01

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Paxton, R. O. (1998). The five stages of fascism. Journal Of Modern History70(1), 1.

Paxton, R. O. (2012). The Civic Foundations of Fascism in Europe: Italy, Spain and Romania, 1870-1945. New Left Review, (74), 140-144.

Paxton, R. O. (2000). Nationalism, Anti-Semitism and Fascism in France (Book Review). Journal Of Modern History72(3), 814.

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more on history in this IMS blog
https://blog.stcloudstate.edu/ims?s=history

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