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Record W4383313515 · doi:10.25071/1913-9632.39672

Radical Americas: A Hemispheric History of the Left

2023· article· en· W4383313515 on OpenAlexvenueno aff
Spencer Beswick

Bibliographic record

VenueLeft History An Interdisciplinary Journal of Historical Inquiry and Debate · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicAnarchism and Radical Politics
Canadian institutionsnot available
FundersUniversity of Illinois at Urbana-ChampaignHarvard UniversityPrinceton University
KeywordsGrassrootsIdeologyPeriodizationSolidarityNew LeftPoliticsPolitical economySociologyWorld historyPolitical scienceHistoryLaw

Abstract

fetched live from OpenAlex

This article argues that a transnational methodological approach is crucial to understanding the development of the radical Left across the hemisphere throughout the twentieth century. Historical accounts of the Left in the Americas typically divide their subject according to temporal, geographic, and ideological boundaries. This approach accentuates ruptures and ideological divisions while underemphasizing underlying continuities and broader historical trends. By synthesizing a hemispheric history of the Left in a new periodization that stretches from early regional anarchist networks through the rise and fall of the Pink Tide, this article demonstrates how a transnational approach enables a richer understanding of the historical developments underlying recent social movements and political upheavals. An emphasis on transnational networks encourages readers to identify not with our imperialist government but rather with alternative histories of grassroots solidarity and cooperation across borders. This framework provides a mode of engagement that decenters the importance of nation-states and focuses instead on the actions of ordinary people struggling to build a new world.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.012
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.008
Scholarly communication0.0030.003
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.063
GPT teacher head0.342
Teacher spread0.279 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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Same venueLeft History An Interdisciplinary Journal of Historical Inquiry and DebateSame topicAnarchism and Radical PoliticsFrench-language works237,207