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Record W4297905234 · doi:10.54097/ijeh.v4i3.1653

The Relationship Between Social Anxiety and Marijuana Craving in Canadian College Students: Social Anxiety as The Predictor of Marijuana Craving

2022· article· en· W4297905234 on OpenAlexfundaboutno aff
Qinxuan Zhou

Bibliographic record

VenueInternational Journal of Education and Humanities · 2022
Typearticle
Languageen
FieldPsychology
TopicAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Canadian institutionsnot available
FundersUniversity of British Columbia
KeywordsCravingSocial anxietyPsychologyAnxietyConformityClinical psychologyAddictionPsychiatrySocial psychology

Abstract

fetched live from OpenAlex

Social anxiety is correlated with risk for easier dependence on marijuana use, and many works have been done to show marijuana use among college students is associated with mental health problems. Yet it remains unclear whether social anxiety serves as a predictor towards marijuana craving, which refers to an unrelenting desire and is often a criterion for the diagnosis of drug addiction. The present study examined the correlations between social anxiety, marijuana craving and marijuana use motives by analyzing data from questionnaires filled out by current Canadian undergraduates (N = 34). The data showed that higher social anxiety level was correlated with greater marijuana craving, and the frequently chosen motive to use marijuana was social conformity, which means becoming more consistent with other people’s behaviors, further suggesting that social anxiety played a role in leading desire for marijuana use. Identification of this association provides novel insights into the prediction and treatment for marijuana-related problems among college students and guidance for college policy design.

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)0.001
metaresearch head score (Gemma)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.056
GPT teacher head0.383
Teacher spread0.327 · 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
Published2022
Admission routes2
Has abstractyes

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Same venueInternational Journal of Education and HumanitiesSame topicAnxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesFrench-language works237,207