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Record W2137531287 · doi:10.1177/1075547003252334

Sustained, Intensive Engagement to Promote Health and Safety Knowledge Transfer to and Utilization by Workplaces

2003· article· en· W2137531287 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

VenueScience Communication · 2003
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsUniversity of TorontoInstitute for Work & Health
Fundersnot available
KeywordsKnowledge transferKnowledge managementIntervention (counseling)Body of knowledgeProcess (computing)BusinessPsychologyComputer science

Abstract

fetched live from OpenAlex

The need to establish a positive relationship between the source of the knowledge and the user organization to achieve knowledge utilization is an established principle of knowledge transfer. Yet, the process of establishing such a relationship and its impact on knowledge utilization remains relatively unexplored in the field of workplace health and safety. This article describes such a knowledge transfer intervention with three manufacturing workplaces. Using qualitative methods, a knowledge broker documents and evaluates a knowledge transfer intervention and the utilization of a body of research on workplace health and safety. This article explores the issues of intensity, duration, and the interactive nature of positive relationship building and highlights the implications for knowledge transfer on workplace health and safety.

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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.671
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
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 head0.147
GPT teacher head0.506
Teacher spread0.358 · 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