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Record W1571048429 · doi:10.7202/019876ar

Jamais sans ma voiture ? Les banlieusards des franges de Québec

2009· article· fr· W1571048429 on OpenAlexaffvenueabout
Andrée Fortin, Marie-Hélène Villeneuve, Martin Rioux

Bibliographic record

VenueRecherches sociographiques · 2009
Typearticle
Languagefr
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsMcGill UniversityNatural Sciences and Engineering Research Council of CanadaUniversité Laval
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Le rapport à l’automobile de 70 résidents de secteurs périphériques de l’agglomération de Québec, non desservis par le transport en commun, est analysé à travers leurs comportements de mobilité, ainsi que leurs discours sur l’environnement et l’automobile. Leurs déplacements quotidiens varient beaucoup et tous les actifs ne se déplacent pas quotidiennement vers le centre-ville. Des différences selon l’âge et le sexe caractérisent non tant les comportements en tant que tels, mais plutôt le rapport affectif ou fonctionnel entretenu envers la voiture. Si les femmes aiment conduire leur voiture dans la même proportion que les hommes, ce n’est pas pour les mêmes raisons. Diminuer le recours à la voiture individuelle, ce serait transformer en profondeur tout un mode de vie ; comprendre ce mode de vie et ce pour quoi plusieurs personnes l’apprécient est essentiel dans l’atteinte de cet objectif.

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)0.000
metaresearch head score (Gemma)0.001
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: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0080.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.001

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 head0.098
GPT teacher head0.364
Teacher spread0.266 · 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

Citations6
Published2009
Admission routes3
Has abstractyes

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