MétaCan
Menu
Back to cohort
Record W2907622472 · doi:10.1016/j.jsr.2018.12.010

Mapping safety culture attributes with integrity management program to achieve assessment goals: A framework for oil and gas pipelines industry

2018· article· en· W2907622472 on OpenAlexafffund
Hassan Iqbal, Bushra Waheed, Husnain Haider, Solomon Tesfamariam, Rehan Sadiq

Bibliographic record

VenueJournal of Safety Research · 2018
Typearticle
Languageen
FieldComputer Science
TopicDiverse Research and Applications
Canadian institutionsBC Hydro (Canada)University of British Columbia, Okanagan CampusUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of CanadaBritish Columbia Oil and Gas Commission
KeywordsSafety cultureAuditProcess managementProcess safetyRisk managementOrganizational cultureRisk analysis (engineering)Government (linguistics)Poison controlProcess safety managementOccupational safety and healthRisk assessmentEngineeringOperations managementBusinessComputer securityAccountingWork in processComputer sciencePublic relationsEnvironmental healthManagementFinance

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.009
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.031
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.003
Science and technology studies0.0020.003
Scholarly communication0.0060.006
Open science0.0030.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.100
GPT teacher head0.440
Teacher spread0.340 · 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 designTheoretical or conceptual
Domainnot available
GenreMethods

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
Published2018
Admission routes2
Has abstractno

Explore more

Same venueJournal of Safety ResearchSame topicDiverse Research and ApplicationsFrench-language works237,207