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Jornada laboral, estrés y conflicto trabajo-familia en trabajadores de Latinoamérica: una revisión sistemática

2025· article· es· W4410472607 on OpenAlexaff
Alisma Monroy-Castillo, Magda Trujillo-Moyo, Vannia Y. Pastrana-Hernandez, Mónica Sesma-Vázquez, Arturo Juárez García, Bruma Palacios-Hernández

Bibliographic record

VenueSalud UIS · 2025
Typearticle
Languagees
FieldPsychology
TopicStress and Burnout Research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsHumanitiesPolitical sciencePsychologyArt

Abstract

fetched live from OpenAlex

Introducción: El modelo económico actual que originalmente busca maximizar la productividad para mejorar los estándares de vida, inevitablemente ha contribuido al desequilibrio entre la vida laboral y familiar. Objetivo: Realizar una revisión de la literatura sobre la jornada laboral y su relación con el estrés y conflicto trabajo-familia en trabajadores de Latinoamérica. Metodología: Se consultaron cinco bases de datos Dialnet, Redalyc, Pudmed, ScienceDirect y Scielo para identificar estudios publicados en el periodo de 2014-2024. Resultados: Se obtuvieron ocho referencias finales publicadas en seis países de la región. Los hallazgos señalan que las jornadas laborales prolongadas tienen una serie de consecuencias a nivel organizacional y familiar, e incluyen la reducción del tiempo dedicado a la familia y el deterioro de las relaciones interpersonales familiares modulados por el estrés. Conclusión: Debido a la escasez de publicaciones y la diversidad metodológica, se concluye que es importante aumentar el estudio sobre el tema en esta región y avanzar en la homogeneización de la metodología para investigarlo.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.354
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.016
GPT teacher head0.396
Teacher spread0.380 · 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 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

Citations1
Published2025
Admission routes1
Has abstractyes

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