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Record W4327919546 · doi:10.1016/j.shaw.2023.03.007

Scoping Review of the Occupational Health and Safety Governance in Sudan: The Story So Far

2023· article· en· W4327919546 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

VenueSafety and Health at Work · 2023
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsCorporate governanceLegislationEnforcementScope (computer science)Government (linguistics)Occupational safety and healthPublic relationsBusinessPolitical scienceLaw

Abstract

fetched live from OpenAlex

Background: The reoccurrence of occupational accidents in Sudan is evidence of a lack of effective Occupational Health and Safety (OSH) governance in Sudan. Methods: This scope review research articles on OSH governance in Sudan from different sources, including international websites, official government websites, original research articles in journals, and various reports. The five stages of the scoping review followed in this study are: identifying the research question; identifying relevant studies; study selection; charting the data; collating, summarizing, and reporting the results. Results: There is numerous legislation in place; however, there is no evidence of their enforcement, and no formal bodies at the national level are identified as being responsible for their enforcement. Conclusion: Having multiple authorities with overlapping responsibilities hinders OSH governance. An integrated governance model is proposed to eliminate overlapping duties and to facilitate the participation of all stakeholders in the governance process.

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)0.010
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.556
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.116
GPT teacher head0.484
Teacher spread0.368 · 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