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Record W4389967783 · doi:10.1017/9781788212441

Social Movements in Latin America

2020· book· en· W4389967783 on OpenAlexaff
Ronaldo Munck

Bibliographic record

VenueAgenda Publishing eBooks · 2020
Typebook
Languageen
FieldSocial Sciences
TopicLatin American socio-political dynamics
Canadian institutionsSaint Mary's University
Fundersnot available
KeywordsLatin AmericansSocial movementIndigenousAgrarian reformPoliticsAgrarian societyPolitical scienceNew social movementsMovement (music)Political economySociologyGender studiesLawGeographyAestheticsArtAgriculture

Abstract

fetched live from OpenAlex

Social movements play a significant role in the political and social landscape of Latin America. They emanate from different sections of society and are motivated by many different concerns, including workers' rights, agrarian and land reform, the rights of indigenous peoples, gender inequality and the fight against environmental degradation. Ronaldo Munck explores the mosaic of interlocking and connected issues that make up the complex map of social movements in Latin America and shows why, despite being a fragmented political force, these movements are at the centre of any future progressive politics in the region. As such they require careful understanding and, he suggests, a more nuanced theoretical approach than previous studies have offered. Combining insights from Latin American approaches to social movement theory and detailed empirical case studies, the book provides readers with an understanding of the vital role social activism plays in the region and offers students the methodological tools to develop their own research agendas.

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 score0.031
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0060.006
Scholarly communication0.0060.002
Open science0.0000.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.052
GPT teacher head0.318
Teacher spread0.266 · 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

Citations2
Published2020
Admission routes1
Has abstractyes

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