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El buen vivir, miradas desde dentro

2015· article· es· W2175593657 on OpenAlexaboutno aff
María Eugenia Santana E.

Bibliographic record

VenueRevista Pueblos y fronteras digital · 2015
Typearticle
Languagees
FieldSocial Sciences
TopicIndigenous Cultures and Socio-Education
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesIndigenousQuarter (Canadian coin)HistoryArt

Abstract

fetched live from OpenAlex

En esta reflexión acerca del buen vivir se parte de breves aportaciones sobre el significado de este concepto y se presentan dos experiencias basadas en la información empírica recabada por la autora. La primera por medio del trabajo con comunidades indígenas de la Selva del municipio Las Margaritas, Chiapas, en el último cuarto del siglo xx, para tratar de explicar cómo pudo surgir este concepto en la vida comunitaria; se relaciona esta información con la cosmovisión indígena y el valor de la armonía. La segunda experiencia que se presenta es de años recientes, en Los Altos de Chiapas. Esta indaga acerca de los valores del buen vivir desde el punto de vista de mujeres tsotsiles, tomando como muestra un grupo de Zinacantán, a quienes se invita a realizar una comparación entre la forma de vida que llevan y la que ofrece un proyecto de desarrollo gubernamental, para llegar, finalmente, a conclusiones.

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)0.003
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.020
Scholarly communication0.0070.006
Open science0.0010.004
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0090.001

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 head0.022
GPT teacher head0.320
Teacher spread0.298 · 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

Citations15
Published2015
Admission routes1
Has abstractyes

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