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Record W2067417996 · doi:10.1055/s-2003-38099

Lohnt sich betriebliche Suchtprävention?

2003· article· de· W2067417996 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.

Bibliographic record

VenueSuchttherapie · 2003
Typearticle
Languagede
FieldHealth Professions
TopicWorkplace Health and Well-being
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPolitical scienceGynecologyMedicine

Abstract

fetched live from OpenAlex

Objective: As employees with addiction problems may cause substantial costs to companies, cost-effective measures are needed in order to prevent these costs. The overall objective of this study was to evaluate the cost-benefit ratio of preventive measures in the workplace with potential application for Switzerland. Methods: A computer-assisted comprehensive literature search and review were carried out on publications which dealt with topics on effectiveness, cost-effectiveness and cost-benefit studies in Anglo-Saxon and German-speaking countries. We also looked at grey literature published in German. Results: There is a scarcity of studies from German-speaking countries. In addition, the majority of the studies on alcohol-attributable costs at the workplace were restricted to absenteeism and did not include all costs of alcohol. Even though studies were not easily comparable, there seems to be an economic benefit from preventive measures, outweighing their costs. Conclusions: A measure between primary and secondary prevention which requires relatively few resources and has proven to be effective are brief interventions. It is recommended that companies in Switzerland introduce this measure as a way of dealing with alcohol problems among their employees.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.662
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0160.020

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 head0.030
GPT teacher head0.367
Teacher spread0.337 · 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