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RIVERA ANDÍA, Juan Javier (Org.). Cañaris. Etnografías y documentos de la sierra norte del Perú. Buenos Aires: Ethnographica, 2018, 384 p.

2021· article· es· W3136472973 on OpenAlexaff
Adriana Paola Paredes Peñafiel

Bibliographic record

VenueRevista AntHropológicas · 2021
Typearticle
Languagees
FieldSocial Sciences
TopicIndigenous Cultures and History
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Este livro é uma compilação do antropólogo Juan Javier Rivera Andía, autor conhecido por suas pesquisas no vale alto de Chancay, vertente ocidental dos Andes centrais do Peru.A obra versa sobre o grupo quéchuafalante da região andina Lambayeque, norte do Peru.Nesta obra estão reunidos documentos escritos por aqueles que foram protagonistas dos processos de formalização da propriedade coletiva da terra e da revalorização das suas manifestações culturais.Na apresentação dessas "narrações outras" (p.18), Rivera Andía assume uma posição crítica ao horizontalizar essas vozes com os trabalhos etnográficos de acadêmicos que, por sua vez, optaram por pesquisar fora da predileta região sul andina.Essas insurgências, como bem explicitado na Introdução, permitem compreender "o mundo indígena dos Andes contemporâneos" (p.20).O livro está dividido em duas partes.Dentro desta primeira parte, inicia-se com o manuscrito de José Natividad Huamán Bernilla.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.080
Threshold uncertainty score0.267

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.005
Science and technology studies0.0020.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0800.024

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 head0.017
GPT teacher head0.340
Teacher spread0.323 · 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
GenreReview

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
Published2021
Admission routes1
Has abstractno

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