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KNOWLEDGE OF CONSEQUENCES, ACADEMIC PERFORMANCE AND DRUG CONSUMPTION AMONG UNDERGRADUATE STUDENTS IN ONE UNIVERSITY IN JAMAICA

2019· article· en· W2956369250 on OpenAlexafffund
Fay Williams, Bruna Brands

Bibliographic record

VenueTexto & Contexto - Enfermagem · 2019
Typearticle
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
FundersForeign Affairs and International Trade CanadaGovernment of CanadaCentre for Addiction and Mental Health
KeywordsDemographicsCluster samplingConsumption (sociology)Alcohol consumptionTest (biology)DrugMedical educationPsychologyIntervention (counseling)Significant differenceCluster (spacecraft)MedicineAlcoholEnvironmental healthDemographySociologyPsychiatryComputer scienceSocial science

Abstract

fetched live from OpenAlex

ABSTRACT Objective: determine the prevalence of drug use and to investigate the relationship between knowledge of consequences and drug consumption as well as the relationship between academic performance and drug consumption among university undergraduate students in Jamaica. Method: the study uses a cross sectional design. A total of 250 undergraduate students were selected through a randomized cluster sampling process. A modified survey instrument consisting of over 70 items relating to socio-demographics, knowledge of consequences, drug consumption and academic performance measures was used to test the research question and hypothesis. Results: the findings revealed low levels of drug usage as well as problematic usage, however, there was a weak negative yet statistically significant correlation between the academic performance and alcohol use (r=-.139, p=.028) which suggested that an increase in alcohol usage is associated with reduction in academic performance. The independent T test also revealed a statistically significant difference between those who used alcohol and those who did not use alcohol in the past 12 months based on academic performance. Conclusion: the findings will inform policy decisions regarding drug use and the provision of intervention services. It is recommended that this research should be extended to other universities in Jamaica.

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 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 score0.008
Threshold uncertainty score0.765

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.244
GPT teacher head0.415
Teacher spread0.171 · 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 teacher head, 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

Citations5
Published2019
Admission routes2
Has abstractyes

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