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Record W655372489 · doi:10.1201/9780203756140-13

An alcohol and other drug education programme for bus operators

2019· book-chapter· en· W655372489 on OpenAlexaboutno aff
Tanya Barrett

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldPsychology
TopicSleep and Work-Related Fatigue
Canadian institutionsnot available
Fundersnot available
KeywordsDrugAlcoholMedicineComputer scienceEnvironmental healthPsychologyPharmacologyChemistry

Abstract

fetched live from OpenAlex

Alcohol and other drugs are an increasing problem for modern society. In 1990 Transperth, the organisation providing Perth’s bus services, commenced a comprehensive training programme referred to as ‘Transit Ambassador’ which was purchased from Canada. The programme was designed by the Occupational Health Co-ordinator and the Welfare Co-ordinator at Transperth, with the assistance of Health Promotion Services of the Health Department of Western Australia, Alcohol and Drug Authority and Indrad Services, whose contribution is gratefully acknowledged. The programme has had excellent management and union support, with other union groups requesting this style of programme for their members. Participants were bus operators drawn from several depots. They took part in the programme in groups which were composed of operators from several depots. Evaluation was mainly through confidential formal feedback from bus operators. The response of bus operators attending the groups has been very encouraging, if judged by the formal confidential feedback sheets.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.039
Threshold uncertainty score0.132

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0390.005

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 head0.035
GPT teacher head0.328
Teacher spread0.293 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2019
Admission routes1
Has abstractyes

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