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Record W1890957314 · doi:10.7202/1030964ar

L’hégémonie et les programmes d’éducation autochtone au Mexique et au Brésil (1940-1970)

2015· article· fr· W1890957314 on OpenAlexvenueno aff
Lígia Duque Platero, Alice Fiuza

Bibliographic record

VenueRecherches amérindiennes au Québec · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicIndigenous Cultures and Socio-Education
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Dans cet article, l’auteure présente des renseignements sur les programmes d’éducation autochtone des agences indigénistes du Brésil et du Mexique, entre 1940 et 1970, et elle propose également un survol de l’influence de ces programmes sur les processus de formation d’hégémonie des États au sens large, au sein des peuples amérindiens de ces pays durant la même période. Les écoles de l’Institut national indigéniste (INI), au Mexique, et surtout celles du Service de protection de l’Indien (SPI), au Brésil, ont mis l’accent sur l’enseignement de la langue nationale dans leurs programmes et elles ont exercé une influence sur la création de l’idée d’existence de la nationalité « métisse », visant le « développement » et l’« intégration » des peuples autochtones à la nation. Dans les deux pays, les missions religieuses ont participé à l’éducation autochtone, notamment le Summer Institute of Linguistics (SIL). Au Mexique, la participation des promoteurs culturels bilingues en tant qu’« intermédiaires culturels » entre les institutions indigénistes et les communautés s’est avérée un élément clé pour la formation de l’hégémonie. Au Brésil, les enseignants étaient « non autochtones » et leur influence fut moins importante.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.166
Threshold uncertainty score0.329

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 studies0.0040.003
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0010.002
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 head0.206
GPT teacher head0.406
Teacher spread0.200 · 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
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
Published2015
Admission routes1
Has abstractyes

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