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Record W1580684170 · doi:10.3233/wor-2004-00367

A comparison of disability management practices in Australian and Canadian workplaces

2004· article· en· W1580684170 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueWork · 2004
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsProductivityWork (physics)RehabilitationPolitical sciencePublic relationsEconomic growthMedicineEngineeringEconomics

Abstract

fetched live from OpenAlex

The health, well-being and productivity of workers and employers in today's society is becoming increasingly important. The social, emotional and economic costs of injury and illness are such that governments throughout the world are attempting to implement policies and practices to contain these costs. One response in this area is Disability Management (DM). DM focuses on the management of employees with work injuries or illnesses in the workplace rather than offsite in rehabilitation centres. Regional interest in the DM approach has now gained momentum in North America, Europe and the Asia-Pacific. This article briefly reviews two studies that were conducted in Australia and Canada (results have or are being published elsewhere). Although the two studies were not designed for comparison purposes they provide interesting and useful information about the similarities and differences in the practice of DM in Australia and Canada. Findings are compared in terms of five primary principles of DM and it is argued that it is important to understand the ecological contexts in which DM occurs as well as share trans-national research in this area to help inform policy and practice.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.388
Threshold uncertainty score0.848

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)0.0000.000

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 head0.190
GPT teacher head0.554
Teacher spread0.364 · 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