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Record W1991030738 · doi:10.1080/07448481003621726

Impact of Curriculum Infusion on College Students’ Drinking Behaviors

2010· article· en· W1991030738 on OpenAlexaboutno aff
Sabina White, Yong Sue Park, Elizabeth D. Cordero

Bibliographic record

VenueJournal of American College Health · 2010
Typearticle
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumSignificant differencePsychologyAlcohol consumptionTreatment and control groupsQuarter (Canadian coin)Subject matterMedicineClinical psychologyAlcoholPedagogyInternal medicineChemistry

Abstract

fetched live from OpenAlex

OBJECTIVE: A posttest-only experimental design was used to examine the effectiveness of curriculum infusion (CI) in reducing alcohol consumption and associated negative consequences among college students. METHODS: Faculty teaching 2 identical courses during the same quarter were recruited; both classes were randomly assigned to either a treatment or control group, and alcohol information was infused into the treatment classes in addition to the regular curriculum. PARTICIPANTS: A diverse group of 343 undergraduate students participated, with 179 students in the treatment classes and 164 in the control classes. RESULTS: No significant difference was found in alcohol consumption between the 2 groups. Students in the treatment classes reported significantly less negative consequences related to drinking than their counterparts. The effectiveness of CI was not related to subject matter and was equally effective with all students. CONCLUSION: CI was effective in reducing negative drinking consequences in college students despite not affecting drinking behaviors.

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 score0.010
Threshold uncertainty score0.560

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.015
GPT teacher head0.368
Teacher spread0.353 · 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

Citations18
Published2010
Admission routes1
Has abstractyes

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