MétaCan
Menu
Back to cohort
Record W2365564195 · doi:10.1111/lapo.12070

Frontline Safety: Understanding the Workplace as a Site of Regulatory Engagement

2016· article· en· W2365564195 on OpenAlexaff
Paul Almond, Garry Gray

Bibliographic record

VenueLaw & Policy · 2016
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsFraming (construction)CitizenshipIdeologyWorkplace safetyPublic relationsCompliance (psychology)Occupational safety and healthBusinessOrganizational citizenship behaviorPolitical scienceSocial psychologyPsychologyOrganizational commitmentEngineeringLaw

Abstract

fetched live from OpenAlex

The concept of frontline safety encapsulates an approach to occupational health and safety that emphasizes the “other side of the regulatory relationship”—the ways in which safety culture, individual responsibility, organizational citizenship, trust, and compliance are interpreted and experienced at the local level. By exploring theoretical tensions concerning the most appropriate way of conceptualizing and framing frontline regulatory engagement, we can better identify the ways in which conceptions of individuals (as rational, responsible, economic actors) are constructed and maintained through workplace interactions and decision making as part of the fulfillment of the ideological and constitutive needs of neoliberal labor markets.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.002
Science and technology studies0.0080.043
Scholarly communication0.0190.021
Open science0.0030.008
Research integrity0.0090.005
Insufficient payload (model declined to judge)0.0070.001

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 head0.129
GPT teacher head0.475
Teacher spread0.346 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations38
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueLaw & PolicySame topicOccupational Health and Safety ResearchFrench-language works237,207