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Record W7125598612 · doi:10.31644/ce2026b4

Estilos de vida universitarios

2025· book· W7125598612 on OpenAlexaboutno aff
Juliana Matus López, Rubén Antonio Moreno Moreno, José Ramiro Cortés Pon, Marina Acevedo García, Hugo Saúl Rojas Pérez, Aki akuromiya, Bertha Palacios López

Bibliographic record

VenueUniversidad Autónoma de Chiapas eBooks · 2025
Typebook
Language
FieldHealth Professions
TopicHealth and Lifestyle Studies
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Meaning (existential)Life styleAcademic community

Abstract

fetched live from OpenAlex

Los autores de este libro son biólogos, sociólogos, antropólogos, comunicólogos y médicos que se desempeñan como catedráticos de la Licenciatura en Desarrollo Humano de la Universidad de Ciencias y Artes de Chiapas y de las licenciaturas en Pedagogía y Comunicación de la Universidad Autónoma de Chiapas. Estos profesores analizan en cada capítulo los hábitos de sus estudiantes desde diferentes enfoques y con base en la aplicación del “Cuestionario del Estilo de Vida de Jóvenes Universitarios”, un instrumento diseñado en Hispanoamérica para conocer los hábitos de la población estudiantil de nivel superior. ​Su objetivo es indagar sobre la actividad física, alimentación, consumo de alcohol, cigarrillos, drogas, sexualidad, tiempo para el ocio y para el sueño de los universitarios chiapanecos. Durante una conferencia en Ottawa el año 1986, la Organización Mundial de la Salud definió los estilos de vida “como una forma general de vida basada en la interacción entre las condiciones de vida en un sentido amplio y los patrones individuales de conducta determinados por factores socioculturales y características personales”. De ahí los cuestionamientos planteados en estas páginas: ¿los hábitos de los universitarios son saludables o no? De no serlos, ¿qué se requiere para encaminarlos hacia una vida más sana dentro del contexto estudiantil?

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)0.002
metaresearch head score (Gemma)0.010
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: none
Teacher disagreement score0.088
Threshold uncertainty score0.293

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.008
Science and technology studies0.0060.001
Scholarly communication0.0060.003
Open science0.0010.007
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0880.024

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 head0.026
GPT teacher head0.317
Teacher spread0.292 · 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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