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Record W2948258953 · doi:10.1111/jlca.12417

Juego y suerte: el jaripeo como espectáculo social y su profesionalización en el suroeste de Puebla, México

2019· article· es· W2948258953 on OpenAlexaff
Iliana Vázquez Zúñiga

Bibliographic record

VenueThe Journal of Latin American and Caribbean Anthropology · 2019
Typearticle
Languagees
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesArtCartographyGeography

Abstract

fetched live from OpenAlex

Resumen Este artículo analiza el jaripeo considerando dos aspectos interrelacionados. El primero se refiere al proceso de profesionalización, en el cual se han incorporado instrumentos en la monta que han mejorado la calidad del espectáculo, pero incrementado el riesgo del jinete. Argumento que este mecanismo de violencia y la posibilidad de la muerte del jinete hacen más atractivo el espectáculo. El segundo se refiere al jaripeo como espectáculo social que contiene y genera estereotipos raciales y de clase, para lo cual se realiza una comparación con la charrería y se presentan algunas reflexiones sobre la cultura ranchera relacionada con estos espectáculos. Este estudio se sustenta en los datos recabados mediante entrevistas y trabajo de campo en tres municipios del suroeste de Puebla, México (Piaxtla, Axutla y Tulcingo). En esta región, los jaripeos se han profesionalizado con mayor fuerza desde los años noventa como una actividad ligada a la ganadería. [Charrería, desigualdades de clase y raza, ganadería de reparo, México, profesionalización del jaripeo]

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.179
Threshold uncertainty score0.356

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.013
GPT teacher head0.291
Teacher spread0.278 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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