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Record W2162995176 · doi:10.7202/601313ar

Le temps comme intrant des attitudes à l’égard de lasécurité routière : le cas québécois

2009· article· fr· W2162995176 on OpenAlexvenueaboutno aff
Jean‐Charles Chebat, Jean‐Louis Chandon, Michelle Bergadaà

Bibliographic record

VenueL Actualité économique · 2009
Typearticle
Languagefr
FieldPsychology
TopicPsychological and Temporal Perspectives Research
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyPolitical science

Abstract

fetched live from OpenAlex

Le modèle de G. Becker (Theory of the Allocationof Time, 1965) sert de base théorique à l’analyse des arbitrageséconomiques de l’usager de la route face aux véhicules et son environnement routier.Les auteurs introduisent les notions de perception du temps futur et de tempsprésent, ainsi que celles de discontinuité du temps. Ces notions sont issues desrecherches effectuées en psychologie et sociologie. Le modèle développé, bien quefidèle à la pensée de G. Becker s’enrichit des variables d’« horizon psychologique »de l’individu et du degré d’indépendance du futur et du présent. Un échantillonreprésentatif de la population du Québec de 683 personnes de plus de 18 ans a étéeffectué. Le questionnaire de 70 questions, testées et validées, à été élaboré. Les hypothèses « attrait pour la vitesse », « entretien de l'auto », « sécuritéactive » sont vérifiées : conformément aux hypothèses, la valeur de ces variablescroît avec la valeur du temps présent dans le premier cas et avec celle du tempsfutur dans les 2 suivants.

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)0.001
metaresearch head score (Gemma)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.198

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.004
Scholarly communication0.0040.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.127
GPT teacher head0.382
Teacher spread0.255 · 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

Citations1
Published2009
Admission routes2
Has abstractyes

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