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Record W4231182346 · doi:10.24124/2005/bpgub1286

Workplace Health Safety and Compensation Commission Disability Management Program

2005· dissertation· en· W4231182346 on OpenAlexaffabout
Nadine Devereaux

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsMemorial University of NewfoundlandDalhousie University
Fundersnot available
KeywordsCommissionOccupational safety and healthWork (physics)Compensation (psychology)Workers' compensationBusinessEffective safety trainingPublic relationsOccupational health nursingNursingEngineeringMedicinePublic healthPsychologyHealth promotionPolitical scienceFinance

Abstract

fetched live from OpenAlex

The Workplace Health Safety and Compensation Commission (the Commission) of Newfoundland and Labrador is committed to promoting employee health and wellness as well as facilitating recovery through safe work practices and effective occupational health and safety and return to work programming. The Disability Management Program, jointly developed with both labor and management, establishes effective processes for return to work, outlines roles and responsibilities and is designed to attain the best performance in managing employee medical absences in both human and financial terms. While it is recognized that effective Disability Management Programs have an occupational health and safety component, this project introduces the Disability Management Program and Committee and then focuses specifically on the development of the return to work aspect. This program will continue to develop and incorporate the Occupational Health and Safety, Wellness, Employee Assistance and other programs that are currently ongoing within the Commission.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.108
Threshold uncertainty score0.214

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0470.009

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 head0.064
GPT teacher head0.513
Teacher spread0.449 · 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 designQualitative
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

Citations0
Published2005
Admission routes2
Has abstractyes

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