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Record W4412747337 · doi:10.32870/cor.a10n19.7496

La reconfiguración de la festividad religiosa La Enrama de San Isidro Labrador a causa del consumo del alcohol en el sur de México

2025· article· en· W4412747337 on OpenAlexaboutno aff
Aurora Kristell Frías López, Jorge Luis Arellanez Hernández

Bibliographic record

VenueCórima Revista de Investigación en Gestión Cultural · 2025
Typearticle
Languageen
FieldPsychology
TopicPsychedelics and Drug Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtGeography

Abstract

fetched live from OpenAlex

This study aims to analyze the reconfiguration of the religious festival La Enrama de San Isidro Labrador due to alcohol consumption in Comalcalco, Tabasco. It is a qualitative research method using a phenomenological approach, with an exploratory descriptive level and a cross-sectional scope. The techniques used were non-participant observation and semi-structured interviews. The unit of analysis was people who attend the San Isidro Labrador Church in the municipality of Comalcalco, Tabasco, Mexico. Among the findings is the acceptance of the change in the date of the Catholic Enrama to avoid confrontations or problems with people who consume intoxicating beverages. The subjects under analysis were willing to remake the entire cultural religious tradition on a day other than the one designated by the Eucharistic calendar. It is concluded that this displacement emphasizes the dominance of the influence of alcoholism on the population and in daily social processes. Future lines of research include the perceptions of new generations of festivalgoers about the changes and how they impact their identity.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.022
GPT teacher head0.358
Teacher spread0.336 · 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 designObservational
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
Published2025
Admission routes1
Has abstractyes

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