MétaCan
Menu
← Back to cohort

L'importance des facteurs humains dans les audits de securite: le cas de l'aeroport Montreal-Trudeau

2007· article· fr· W5549921 on OpenAlexaboutno aff
Julie Cormier, Christian Dagenais

Bibliographic record

Venuenot available
Typearticle
Languagefr
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Dans le cadre du projet de reconfiguration du reseau routier en facade de l'Aeroport international Pierre-Elliot-Trudeau, un concept global autoroutier a ete elabore par CIMA+ en collaboration avec Aeroports de Montreal. En plus de relier les reseaux routiers local et superieur, ce concept integre un reseau pietonnier et cyclable permettant de repondre aux besoins des marcheurs et cyclistes qui circulent en facade de l'aeroport. Par ailleurs, le concept considere egalement l'amenagement d'un nouvel hotel, de nouveaux stationnements et d'un lien ferroviaire ainsi que tous les besoins associes aux activites aeroportuaires (taxis, autobus, livraison, etc.) Afin de bonifier le concept preliminaire, un audit en securite routiere a ete realise par une equipe multidisciplinaire composee de specialistes en securite, d'un expert en facteur humain et de responsables des installations aeroportuaires. Les conclusions de l'audit ont permis de mettre en evidence l'importance de considerer les facteurs humains dans la realisation des audits en securite routiere. (A) Pour la fiche generale du congres voir numero ITRD E216511.

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)0.011
metaresearch head score (Gemma)0.030
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.456
Threshold uncertainty score0.907

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.030
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0050.005
Scholarly communication0.0090.003
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.077
GPT teacher head0.455
Teacher spread0.378 · 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 designObservational
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

Citations0
Published2007
Admission routes1
Has abstractyes

Explore more

Same topicOccupational Health and Safety Research→French-language works237,207→