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Record W2161494296 · doi:10.21134/haaj.v13i2.206

Medios de comunicación y consumo de alcohol en adolescentes: ¿qué dicen los expertos?

2013· article· es· W2161494296 on OpenAlexaff
Cristian Suárez Relinque, Gonzalo Musitu Ochoa, María Elena Villarreal-González

Bibliographic record

VenueAfrican journal of rhetoric · 2013
Typearticle
Languagees
FieldHealth Professions
TopicHealth and Lifestyle Studies
Canadian institutionsInstitute of Particle Physics
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

El objetivo del presente estudio es conocer la opinión de profesionales expertos en adolescencia, familia, escuela, medios de comunicación y polí­ticas locales, respecto al rol que desempeñan los medios de comunicación en el consumo de alcohol en los adolescentes. Se ha realizado una investigación cualitativa siguiendo el esquema propuesto por la Teorí­a Fundamentada (Grounded Theory) (Glaser y Strauss, 1967). La información se ha obtenido a partir de Grupos de Discusión guiados por entrevistas semiestructuradas. Participaron en el estudio 32 expertos nacionales. La conclusión principal es que los expertos entrevistados perciben que los medios de comunicación desempeñan un importante rol educativo en el consumo de alcohol e identifican siete aspectos clave (subcategorí­as) en el comportamiento de los medios que suponen factores de riesgo para el consumo en los adolescentes, los cuales se agrupan en tres categorí­as (modelado en hábitos no saludables, imagen sesgada del adolescente y falta de rigor en la información).

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)0.010
metaresearch head score (Gemma)0.026
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 score0.010
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.026
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.006
Scholarly communication0.0050.005
Open science0.0010.003
Research integrity0.0030.002
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 head0.039
GPT teacher head0.391
Teacher spread0.352 · 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

Citations2
Published2013
Admission routes1
Has abstractyes

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