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Record W2101075671 · doi:10.1081/ja-100102628

CROSS-CULTURAL EVALUATION OF TWO DRINKING ASSESSMENT INSTRUMENTS: ALCOHOL TIMELINE FOLLOWBACK AND INVENTORY OF DRINKING SITUATIONS

2001· article· en· W2101075671 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSubstance Use & Misuse · 2001
Typearticle
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsCentre for Addiction and Mental HealthUniversity of Toronto
Fundersnot available
KeywordsTimelineAlcoholPsychometricsEnvironmental healthPsychologyOccupational safety and healthMedicineClinical psychologyGeographyPathology

Abstract

fetched live from OpenAlex

This article describes the psychometric characteristics of two major assessment instruments used in a World Health Organization (WHO) clinical trial: (a) Alcohol Timeline Followback (TLFB, which assesses daily drinking patterns), and (b) Inventory of Drinking Situations (IDS, which assesses antecedents to "heavy" drinking). Clients (N = 308) were outpatient alcohol abusers from four countries (Australia, Canada, Mexico, and Sweden). Generally, the Alcohol TLFB and IDS were shown to be reliable and valid with outpatient alcohol abusers in four countries, and in three languages. These results suggest that the Alcohol TLFB and the IDS can be used in clinical and research settings with Swedish-, Spanish-, and English-speaking alcohol abusers.

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)0.001
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 score0.036
Threshold uncertainty score0.875

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.099
GPT teacher head0.411
Teacher spread0.312 · 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