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Educación y reproducción de sociedades no capitalistas. El caso de alumnos de telebachillerato y la Empresa Forestal Comunitaria de San Pedro el Alto, México

2015· article· es· W1844513566 on OpenAlexaff
Mara Rosas Baños, María Evelinda Santiago Jiménez, Ruth Lara-Rodríguez

Bibliographic record

VenuePerfiles Educativos · 2015
Typearticle
Languagees
FieldSocial Sciences
TopicRegional Development and Innovation
Canadian institutions123 Certification (Canada)
Fundersnot available
KeywordsSociologyAgency (philosophy)Perspective (graphical)IdeologyPopulationHumanitiesPolitical scienceSocial scienceLawArtDemographyPolitics

Abstract

fetched live from OpenAlex

En este texto se analiza el caso de los jóvenes de telebachillerato de la agencia de San Pedro el Alto, Oaxaca, México, para explorar la perspectiva de los jóvenes sobre su futuro profesional; su permanencia en la comunidad; la gestión de la empresa a través de los usos y costumbres; y sus motivaciones para trabajar en la Empresa Forestal Comunitaria a la luz de la perspectiva de la sociología de la educación y la pedagogía crítica. El estudio es de tipo explicativo; la recopilación de datos se realizó mediante cuestionarios de preguntas semiabiertas que cubrieron 90 por ciento de la población de jóvenes. Se concluye que existen oportunidades para reenfocar la ideología transmitida a los jóvenes que estudian la educación media superior, a través de la construcción de espacios comunitarios de intercambio entre autoridades comunitarias y los jóvenes, como medio para mitigar las percepciones construidas en la escuela y ampliar las propias.

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)0.001
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 score0.083
Threshold uncertainty score0.165

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0040.003
Scholarly communication0.0020.001
Open science0.0000.002
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 head0.029
GPT teacher head0.348
Teacher spread0.318 · 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

Citations3
Published2015
Admission routes1
Has abstractyes

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