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Record W134348372 · doi:10.1177/070674371105601205

Enculturation and Alcohol Use Problems among Aboriginal University Students

2011· article· en· W134348372 on OpenAlexafffundvenueabout
Cheryl L. Currie, T. Cameron Wild, Donald Schopflocher, Lory Laing, Paul J. Veugelers, Brenda Parlee, Daniel McKennitt

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of Alberta
FundersCanadian Institutes of Health ResearchAlberta Innovates - Health Solutions
KeywordsEnculturationAcculturationPsychologyIdentity (music)SociologyPedagogyAnthropologyEthnic group

Abstract

fetched live from OpenAlex

OBJECTIVE: To examine associations between aboriginal enculturation, Canadian acculturation, and alcohol problems among aboriginal university students living in an urban area in Canada. METHODS: Data for this mixed methods study were collected through in-person surveys with a convenience sample of aboriginal university students (n = 60) in 2008/2009. RESULTS: Students evidenced high levels of aboriginal enculturation and Canadian acculturation. aboriginal enculturation was significantly associated with reduced alcohol problems for aboriginal university students. There was no association between Canadian acculturation and alcohol problems. Qualitative findings suggest aboriginal cultural practices helped students cope with problems in their daily lives and provided them with both personal and social rewards. CONCLUSIONS: This study found aboriginal enculturation was significantly associated with reduced alcohol problems among aboriginal university students. Results support the growth of programs and services that encourage aboriginal students to maintain their cultural identity within the university setting.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.485
Threshold uncertainty score0.976

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.026
GPT teacher head0.281
Teacher spread0.256 · 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

Citations29
Published2011
Admission routes4
Has abstractyes

Explore more

Same venueThe Canadian Journal of PsychiatrySame topicIndigenous Health, Education, and RightsFrench-language works237,207