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Knowledge of the consequences of excessive alcohol consumption among emerging adult college students

2025· article· en· W4413451736 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRevista da Escola de Enfermagem da USP · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicYouth, Drugs, and Violence
Canadian institutionsUniversité du Québec en Outaouais
Fundersnot available
KeywordsAlcohol consumptionConsumption (sociology)PsychologyAlcoholMedicineEnvironmental healthMedical educationSociologySocial science

Abstract

fetched live from OpenAlex

OBJECTIVE: To examine the perception and knowledge of emerging adult college students regarding the consequences of excessive alcohol consumption on their biopsychosocial health and current and future well-being. METHOD: This exploratory, descriptive, qualitative study was conducted with 31 college students. A form with a QR code was made available online to provide information about the study. Data were collected through semi-structured interviews, transcribed using Turbo Scribe and the reports were analyzed using content analysis with the support of Atlas.ti software. RESULTS: Participants demonstrated limited knowledge about what constitutes excessive alcohol consumption and its impact on health. These findings underscore the need for ongoing awareness and health education initiatives aimed at expanding knowledge and supporting informed decisions about alcohol use.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.108
Threshold uncertainty score0.630

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.044
GPT teacher head0.393
Teacher spread0.350 · 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