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Record W3087576941 · doi:10.4000/aa.6626

kube-kà kumrenx: Vestidos e gênero entre os Mebêngôkre

2020· article· pt· W3087576941 on OpenAlexaff
Julia Sá Earp

Bibliographic record

VenueAnuário Antropológico · 2020
Typearticle
Languagept
FieldSocial Sciences
TopicNew Caledonia Indigenous Studies
Canadian institutionsCentre CasaNexen (Canada)
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Este artigo busca abordar questões contemporâneas da sociedade Mẽbêngokre-Kayapó a partir do estudo referente aos vestidos utilizados pelas mulheres deste povo, chamados de kubẽ-kà kumrenx e fabricados na maioria das cidades próximas às aldeias. Este objeto abrirá espaço para reflexões sobre as pontes construídas e tensionadas pelas mulheres mẽbêngôkre entre seus mundos e o dos brancos em uma perspectiva sobre a manipulação de substâncias materiais e imateriais como estratégias, estéticas e políticas de construção de seus corpos. Em um primeiro momento, apresento o campo sobre a Casa de Costura em Kaprãnkrere, T.I. Las Casas, e sua idealizadora Tuíre Kayapó. Na segunda parte, relato histórias contadas sobre a origem destas vestimentas no Território Menkragnoti em busca de conectar as intenções de uso com o fenômeno da difusão desta moda em todos os Territórios Kayapó.

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)0.002
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.012
Scholarly communication0.0060.004
Open science0.0010.006
Research integrity0.0010.001
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 head0.047
GPT teacher head0.298
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
Published2020
Admission routes1
Has abstractyes

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