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Record W2782536174

Frontières et identités en terres mayas Mexique-Guatemala XIXe-XXIe siècle

2011· book· fr· W2782536174 on OpenAlexaboutno aff
Carine Chavarochette

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2011
Typebook
Languagefr
FieldSocial Sciences
TopicMigration, Health, Geopolitics, Historical Geography
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesFrontierEthnologyPolitical scienceArtSociology
DOInot available

Abstract

fetched live from OpenAlex

De sa création en 1882 à 2001, la frontière Guatemala-Mexique oscille entre deux modèles : celui de frontier, frontière mobile et ouverte, et celui de border, frontière limite, ligne qui divise. C'est une zone où la propriété de la terre, sa gestion et ses conflits déterminent les identifications des populations mayas et non mayas. L'héritage des relations de propriété et de domination entraîne la mobilité volontaire ou le déplacement forcé des habitants. Les différentes crises politiques et sociales chiapanèques du XXe siècle conduisent également ces populations indiennes, exploitées et spoliées, à rechercher et valoriser une nouvelle identité au moyen de cultes religieux spécifiques et de pèlerinages transfrontaliers. L'affirmation d'une identité frontalière montre comment, à travers les pratiques culturelles, les Indiens, mais aussi les métis dépourvus de terre, répondent symboliquement aux décisions politiques dont ils sont victimes. Pour mener cette étude, l'auteur adopte le double point de vue de l'anthropologue et de l'historien : la perspective historique replace la question agraire dans son contexte politique et social et l'approche anthropologique permet de mettre en valeur le vécu symbolique des populations.

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)0.000
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: none
Teacher disagreement score0.240
Threshold uncertainty score0.476

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0060.005
Scholarly communication0.0020.001
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.021
GPT teacher head0.262
Teacher spread0.241 · 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
Published2011
Admission routes1
Has abstractyes

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