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Record W2789737835 · doi:10.1177/2167696817748106

University Students’ Perceptions of Links Between Substance Use and Mental Health

2018· article· en· W2789737835 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

VenueEmerging Adulthood · 2018
Typearticle
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsQueen's UniversitySt. Francis Xavier UniversityDalhousie University
Fundersnot available
KeywordsMental healthSubstance useAddictionPsychologyThematic analysisPerceptionFocus groupSubstance abusePsychiatryClinical psychologyQualitative research

Abstract

fetched live from OpenAlex

There is a consensus among addictions researchers and clinicians that mental health concerns and substance use problems are often interrelated. It is less clear to what extent the general public, and university students in particular, understand connections between substance use and mental health. The current study aimed to understand university students’ perceived links between substance use and mental health by conducting three semistructured focus groups ( N = 24 participants, 67% female). Thematic analysis of the data yielded five themes: (1) Students use substances to cope with mental health issues, (2) substance use can lead to mental health problems, (3) links between mental health and substance use are cyclical, (4) substance use is an aspect/indicator of mental health, and (5) substance use and mental health are not always linked. Findings provide insight into the understudied area of perceived links between substance use and mental health and have implications for campus programming.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.022
Threshold uncertainty score0.418

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.040
GPT teacher head0.371
Teacher spread0.332 · 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