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Record W2188879764

Transnational Radicals: Italian Anarchist Networks in Southern Ontario and the Northeastern United States, 1915-1940

2010· article· en· W2188879764 on OpenAlexaboutno aff
Travis Tomchuk

Bibliographic record

VenueQSpace (Queen's University Library) · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicAnarchism and Radical Politics
Canadian institutionsnot available
FundersChina Scholarship CouncilScience Foundation Ireland
KeywordsPolitical scienceGeography
DOInot available

Abstract

fetched live from OpenAlex

Previous studies of the left have tended to focus on groups or movements within the confines of national boundaries.Yet the adherents of these organisations were often migrants who travelled to and lived in multiple states.The Italian anarchist movement emerged during the latter half of the nineteenth century during the process of that country"s unification.As the need for cheap labour in the industrializing nations of north-western Europe and North and South America grew, a mass exodus of migrants left Italy.Among those migrants were anarchists who established networks that spanned continents and the Atlantic Ocean.Wherever Italian anarchists settled they began to publish journals, engage in anarchist activism, and re-create the radical culture that had its roots in Italy.This dissertation examines a portion of the transnational anarchist movement that existed in Canada and the United States between 1915 and 1940.The themes explored in this work include the formation of these transational anarchist networks, the divisions within the Italian anarchist movement and their repercussions, how transnational activism was conducted, and the culture these transnational radicals created.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.399

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0160.005
Scholarly communication0.0040.001
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.194
Teacher spread0.188 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2010
Admission routes1
Has abstractyes

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