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Record W2982510473 · doi:10.3917/gs1.160.0015

La mobilité d’aînés d’un arrondissement montréalais : frictions et ancrages

2019· article· fr· W2982510473 on OpenAlexaff
Isabel Wiebe, Anne‐Marie Séguin

Bibliographic record

VenueGérontologie et société · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

De nombreuses activités quotidiennes des personnes âgées nécessitent des déplacements. Or leurs difficultés de mobilité ont tendance à s’accroître avec l’âge. Cette étude qui s’inscrit dans le courant du « mobility turn » explore les aspects expérientiels des déplacements des personnes âgées et examine les obstacles dans l’environnement urbain et les éléments facilitateurs de leur mobilité. La recherche porte sur des personnes de 70 ans et plus qui résident dans un arrondissement montréalais. Ces personnes ont été équipées d’un traceur GPS (« global positionning system ») et d’un carnet de déplacements pendant une semaine. Des entretiens ont été réalisés subséquemment sur leur expérience de mobilité. Nos résultats montrent que les déplacements des personnes âgées sont restreints par un environnement urbain inadapté à leurs besoins, mais aussi qu’ils peuvent être facilités par certains éléments, dont l’aide des proches.

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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.219
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.001

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 head0.030
GPT teacher head0.357
Teacher spread0.327 · 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 teacher head, not a consensus.

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

Citations3
Published2019
Admission routes1
Has abstractyes

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