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Record W2082655706 · doi:10.7202/011468ar

Les territoires de mobilité et les représentations d’une banlieue vieillissante de Québec

2005· article· fr· W2082655706 on OpenAlexaffvenueabout
Thierry Ramadier, Carole Després

Bibliographic record

VenueRecherches sociographiques · 2005
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Qu’est-ce qui motive aujourd’hui les citadins à résider dans une banlieue vieillissante ? Pour le savoir, nous comparons la première génération de résidents d’une banlieue édifiée dans les années 1950-1960 à ceux établis plus récemment, sur la base de leurs représentations cognitives du quartier et de la ville, ainsi que leurs identités spatiales. La recherche d’espace et de tranquillité des pionniers côtoie dorénavant la recherche de centralité et d’accessibilité aux services disponibles dans l’agglomération. Dès lors, les résidents récents ont une représentation multipolaire de la ville. Les lieux de leurs activités sont interchangeables et s’étalent sur un territoire plus étendu mais moins homogène que les pionniers. En revanche, ces derniers conservent une représentation de type centre-périphérie et valorisent la familiarité des lieux fréquentés. Somme toute, il n’existe pas une mais des logiques de mobilité quotidienne qui dépendent fortement de significations issues autant des représentations cognitives de l’espace que des identités spatiales.

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)0.001
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.212

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0060.004
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.000

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 head0.137
GPT teacher head0.393
Teacher spread0.256 · 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

Citations1
Published2005
Admission routes3
Has abstractyes

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