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Record W2152116403 · doi:10.1093/occmed/kqs052

Alcohol, Drugs & Employment

2012· article· en· W2152116403 on OpenAlexaffabout
Mark McCann, Christopher P. Albertyn, U. Bhoola

Bibliographic record

VenueOccupational Medicine · 2012
Typearticle
Languageen
FieldMedicine
TopicAlcohol Consumption and Health Effects
Canadian institutionsPricewaterhouseCoopers (Canada)
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

Mike McCann is a UK occupational health (OH) physician who has worked in Police OH in London for many years. He completed his doctoral thesis in South Africa on alcohol abuse in the workplace. For OH professionals, the medical and OH aspects of this book are the obvious attractions. The other authors include a drug abuse researcher, an expert in arbitration and labour relations, and a South African labour court judge. Although this comprehensive volume is intended primarily for South African and to some extent Canadian markets, the medical and OH aspects and the general employment aspects of substance abuse at work have detailed and general application that is universal and applicable to alcohol and drug use at work in a UK context. The book recommends procedures for identifying, controlling and treating substance abuse, and includes very useful templates and procedural guidelines for pre-employment testing and fair disciplinary action, for example, introducing and implementing a comprehensive workplace substance abuse policy. There are 20 chapters of which 14 are of direct relevance to medical and OH issues. A very comprehensive table of contents is subdivided into sections, enabling easy reference.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.146
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.002

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 head0.217
GPT teacher head0.463
Teacher spread0.246 · 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; both teacher heads agree on what is shown here.

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

Citations3
Published2012
Admission routes2
Has abstractyes

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