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Record W2116778863 · doi:10.5539/ach.v2n2p176

Historical Social and Indigenous Ecology Approach to Social Movements in Mexico and Latin America

2010· article· en· W2116778863 on OpenAlexvenueno aff
José́ G. Vargas-Hernández, Mohammad Reza Noruzi

Bibliographic record

VenueAsian Culture and History · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicPolitics and Society in Latin America
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousPeasantSocial movementLatin AmericansPolitical ecologyPoliticsSociologyIndigenous rightsPolitical economyEcologyPolitical scienceDevelopment economicsLawBiologyEconomics

Abstract

fetched live from OpenAlex

The struggle for the recognition of indigenous rights is one of the most important social movements in Mexico. Before the 1970s, existing peasant organizations did not represent indigenous concerns. Since 1975 there has been a resurgence of indigenous movements and have raised new demands and defense of their cultural values. However, indigenous social mobilization had been laid in local and regional peasant struggles across the 1970s and 1980s. Also the indigenous movement is not homogeneous and does not include all ethnic groups in the country, but it has many different expressions and encompasses different entities at local, regional and national levels. This paper aims to analyze the historical social approach and under the frame of indigenous political ecology of social movements for recognition of indigenous rights in contemporary Mexico.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.009
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.270
Teacher spread0.251 · 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

Citations1
Published2010
Admission routes1
Has abstractyes

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