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Record W4401067596 · doi:10.2486/indhealth.2024-0092

Joint ICOH-WOPS & APA-PFAW global roundtable perspectives: exploring national policy approaches for psychological health at work through the ‘National Policy Index’ lens

2024· article· en· W4401067596 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

VenueIndustrial Health · 2024
Typearticle
Languageen
FieldHealth Professions
TopicWorkplace Health and Well-being
Canadian institutionsWorkers Compensation Board of British Columbia
Fundersnot available
KeywordsJoint (building)Work (physics)Index (typography)Lens (geology)Political sciencePsychologyPublic administrationComputer scienceEngineering

Abstract

fetched live from OpenAlex

Worker psychological health is a significant global imperative that requires national policy action and stakeholder engagement. While national policy is a critical lever for improving worker psychological health, some countries are more progressive than others in relation to policy development and/or implementation. At the Joint Congress of the International Commission on Occupational Health, Scientific Committee on Work Organization and Psychosocial Factors and the Asia Pacific Academy for Psychosocial Factors at Work in Tokyo (September 2023), a Global Roundtable was held that to initiate international dialogue and knowledge exchange about national policy approaches for work-related psychological health. The Global Roundtable involved experts from diverse regions alongside an engaged audience of congress attendees and facilitators. Qualitative data were analysed against the five components of the National Policy Index tool comprising, policy priority, specific laws, nation-wide initiatives, sector-oriented initiatives, national survey and/or studies. Analysis revealed that while work-related psychological health is a policy priority across many countries, at the same time, there are global gaps in both legislation specificity and active regulation across different countries. For future policy development across countries, it will be beneficial to continue and deepen international discourse and for countries to share their approaches with others.

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)0.007
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.863
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0040.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.003
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 head0.621
GPT teacher head0.525
Teacher spread0.096 · 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