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Record W4388232555

Jovens indígenas na Sierra Central do Equador. Elementos para pensar suas práticas comunitárias

2015· article· pt· W4388232555 on OpenAlexaff
René Unda Lara

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2015
Typearticle
Languagept
FieldSocial Sciences
TopicIndigenous Cultures and Socio-Education
Canadian institutionsChild, Adolescent and Family Mental Health
Fundersnot available
KeywordsGeographyHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

Neste artigo, René Unda Lara, doutor em Ciências Sociais e diretor do Centro de Infância, Adolescência e Juventude da Universidade Politécnica Salesiana do Equador, junto com Maria Fernanda Solórzano Granada, pesquisadora desta mesma instituição, analisam a presença e a importância das juventudes indígenas a partir de 2007, quando da instalação do governo da Revolução Cidadã no Equador. Este cenário político e cultural transformador possibilita expor as contradições e tensões que têm constituído a experiência de ser jovem nas diferentes comunidades indígenas equatorianas. Segundo os autores, embora a expansão da obrigatoriedade escolar tenha permitido ganhos importantes para estes jovens, outras demandas se impõem, como a de ter que conjugar seus valores rurais tradicionais com a adesão e o pertencimento ao modo de ser urbano, frente a condicionantes como o movimento de migração para as cidades, e a diversificação das demandas em relação à força de trabalho. Um aspecto importante analisado neste artigo reside na participação ativa dos jovens na reconstrução do movimento indígena no Equador a partir de 2006. Participação esta que não se faz sem problemas, um dos quais constitui o enfrentamento da estrutura de poder comunal indígena que dispõe da autoridade como prerrogativa da geração mais velha. Leia mais.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.900
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0040.000
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.055
GPT teacher head0.305
Teacher spread0.250 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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