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Record W2096811110 · doi:10.3917/pal.092.0027

Métis malgré tout : une résistance Amazonienne aux politiques ethniques

2015· article· fr· W2096811110 on OpenAlexaboutno aff
Jean-François Véran

Bibliographic record

VenueProblèmes d Amérique latine · 2015
Typearticle
Languagefr
FieldAgricultural and Biological Sciences
TopicAgriculture and Rural Development Research
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArtPhilosophy

Abstract

fetched live from OpenAlex

Nação Mestiça est un mouvement politique né des banlieues pauvres de Manaus, capitale de l’État d’Amazonie, en réaction aux politiques dites « ethno-raciales » qui se développent à l’échelle nationale depuis le début des années 2000. Dans l’objectif de restituer et comprendre le point de vue logique à partir duquel ses militants questionnent la démocratie brésilienne, l’article montre dans un premier temps comment Nação Mestiça défend le métissage dans le parfait contresens de la déconstruction idéologique par laquelle le concept s’est vu progressivement destitué de toute légitimité au plan politique national. Il sera ensuite argumenté que cette posture doit être comprise à partir d’une pragmatique de l’expérience métisse, dans laquelle s’inscrit une conception particulière des rapports entre métissage et démocratie. Il s’agira finalement de montrer comment le mouvement déplace le débat sur les politiques « affirmatives » en le re-territorialisant au sein de l’espace pratique des enjeux micro-locaux.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.679
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.061
GPT teacher head0.305
Teacher spread0.244 · 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 teacher head, not a consensus.

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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