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Record W2345882339 · doi:10.1186/s12995-016-0115-8

“Decision-critical” work: a conceptual framework

2016· review· en· W2345882339 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Occupational Medicine and Toxicology · 2016
Typereview
Languageen
FieldHealth Professions
TopicWorkplace Health and Well-being
Canadian institutionsUniversity of CalgaryUniversity of Alberta
FundersUniversity of Alberta
KeywordsHarmMedicineOccupational safety and healthContext (archaeology)Work (physics)Reliability (semiconductor)AttendanceRisk analysis (engineering)Applied psychologyPsychologySocial psychology

Abstract

fetched live from OpenAlex

"Safety-sensitive" workers, also termed "safety-critical" workers, have been subject to fitness to work assessments due to concerns that a performance error may result in worker injury, injury to coworkers or the general public, and/or disruption of equipment, production or the environment. However, there exists an additional category of "decision-critical" workers, distinct from "safety-sensitive" workers, in whom impairment may impact workplace performance, relationships, attendance, reliability and quality. Adverse consequences in these latter areas may not be immediately apparent, but a potential "orbit of harm" nevertheless exists. Workplace consequences arising from impairment in "decision-critical" workers differ from those in "safety-sensitive" personnel. Despite their importance in the occupational context, "decision-critical" workers have not previously been differentiated from other workers in the published literature, and we now outline an approach to fitness to work assessment in this group.

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)0.002
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.846
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.173
GPT teacher head0.548
Teacher spread0.375 · 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