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Record W1524007543 · doi:10.4000/cybergeo.7872

Analyse des aires de marché du commerce de détail à Québec : une méthodologie combinant une enquête de mobilité et un système d’information géographique

2011· article· fr· W1524007543 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCybergeo · 2011
Typearticle
Languagefr
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesMetropolitan areaPolitical scienceGeographyArt

Abstract

fetched live from OpenAlex

Cet article présente une méthodologie utilisée pour étudier la compétition entre les rues commerciales, les centres d’achat et les magasins entrepôts dans la région métropolitaine de Québec en 2001. Basée sur la synthèse des comportements de mobilité individuels visant des fins de consommation issus d’une vaste enquête origine–destination, la procédure d’analyse utilise les SIG pour modéliser les déplacements réalisés sur le réseau routier afin de prendre en compte les perturbations d’accessibilité liées aux infrastructures de transport. Elle permet de délimiter des aires de marché primaire et secondaire pour chaque agglomération commerciale, d’étudier leur degré de compétition spatiale et d’élaborer un diagnostic préliminaire sur l’effet global de l’implantation récente de plusieurs magasins entrepôts en relation avec la viabilité des centres commerciaux et des rues commerciales traditionnelles.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.163
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.054
GPT teacher head0.299
Teacher spread0.245 · 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