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Record W2367114670

Study on mechanism of work safety accident investigation training at different levels in China

2009· article· en· W2367114670 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Safety Science and Technology · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicSafety and Risk Management
Canadian institutionsnot available
Fundersnot available
KeywordsTraining (meteorology)Mechanism (biology)ChinaTraining systemAccident (philosophy)EngineeringWork (physics)Applied psychologyInstitutionKnowledge managementMedical educationEngineering managementRisk analysis (engineering)PsychologyComputer scienceBusinessMedicinePolitical scienceMechanical engineering
DOInot available

Abstract

fetched live from OpenAlex

Investigation training plays an import role in improving investigators' knowledge base,skills and abilities.Models of investigator training in developed countries,such as the United States,UK and Canada,were contrastively analyzed in terms of training method,institution and system.Combining the principles of fatal accident investigation and treatment at different levels in China,mechanism of investigation training at different levels was introduced.Through an analysis of what experience and knowledge the investigator should have,the training mechanism and methodology were designed,and a structured performance evaluation system of investigation training was established.Finally,some suggestions were proposed in order to build up and improve the accident investigation training system,and this can help to centralize and make full use of all possible social resources to improve the holistic skills and abilities of investigators.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.627
Threshold uncertainty score0.432

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.031
GPT teacher head0.253
Teacher spread0.222 · 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