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Record W4235469580 · doi:10.1002/14651858.cd012439

Strategies to improve the implementation of workplace-based policies or practices targeting tobacco, alcohol, diet, physical activity and obesity

2016· article· en· W4235469580 on OpenAlexaff
Luke Wolfenden, Tim Regan, Christopher Williams, John Wiggers, Melanie Kingsland, Andrew Milat, Chris Rissel, Adrian Bauman, Debbie Booth, Margaret M. Farrell, France Légaré, Hervé Tchala Vignon Zomahoun, Benjamin H. Parmenter, Ali Ben Charif, Sze Lin Yoong

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2016
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsUniversité LavalThe Quebec Population Health Research Network
Fundersnot available
KeywordsPsychological interventionObesityMedicinePhysical activityIntervention (counseling)Environmental healthGerontologyPhysical therapyNursing

Abstract

fetched live from OpenAlex

This is a protocol for a Cochrane Review (Intervention). The objectives are as follows: The primary aim of this review is to determine the effectiveness of implementation strategies for policies, practices or programmes that aim to improve health behaviours or reduce unhealthy behaviours commonly associated with risk factors for chronic disease in the workplace. Specifically, this review will target interventions that address diet, physical inactivity, obesity, risky alcohol use and tobacco use. In addition, this review will determine: the effectiveness of implementation strategies on health behaviour outcomes (nutrition, physical activity, obesity, alcohol use and smoking); the cost-effectiveness of these strategies; the existence of adverse outcomes resulting from the implementation of these strategies.

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)0.043
metaresearch head score (Gemma)0.113
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.957
Threshold uncertainty score0.225

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0430.113
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0070.013
Bibliometrics0.0150.012
Science and technology studies0.0010.001
Scholarly communication0.0060.005
Open science0.0030.004
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0190.002

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 head0.073
GPT teacher head0.405
Teacher spread0.332 · 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.

Study designSystematic review
DomainMethods
GenreReview

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

Citations2
Published2016
Admission routes1
Has abstractyes

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