MétaCan
Menu
← Back to cohort
Record W1485311193 · doi:10.7202/1024903ar

Les résidences pour personnes âgées de l’île de Montréal appartenant aux parcs social et privé : une exposition inéquitable à la pollution de l’air ?

2014· article· fr· W1485311193 on OpenAlexaffvenueabout
Mathieu Carrier, Anne‐Marie Séguin, Philippe Apparicio, Dan L. Crouse

Bibliographic record

VenueCahiers de géographie du Québec · 2014
Typearticle
Languagefr
FieldEnvironmental Science
TopicAir Quality and Health Impacts
Canadian institutionsMcGill UniversityInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsHumanitiesPolitical sciencePhysicsArt

Abstract

fetched live from OpenAlex

La qualité des milieux à proximité des résidences pour personnes âgées sur l’île de Montréal, tant celles du parc privé que du parc social, est analysée sous l’angle de la pollution générée par la circulation automobile. Deux types d’indicateurs de polluants sont utilisés pour évaluer la pollution. Les premiers sont basés sur la proximité des axes majeurs de circulation et les seconds estiment, dans un rayon de 200 m, la concentration de NO2. Nos résultats montrent que les résidences privées et celles du parc social se localisent plus souvent à proximité d’axes majeurs de circulation que les résidences de l’ensemble de la population et de la population âgée. Les résidences privées se caractérisent toutefois par des concentrations moindres de NO2 comparativement à ces deux mêmes populations, alors qu’on observe l’inverse pour les résidences du parc social. Ceci s’explique notamment par leur distribution respective au sein du territoire urbanisé.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.162
Threshold uncertainty score0.325

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.019
GPT teacher head0.263
Teacher spread0.244 · 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

Citations4
Published2014
Admission routes3
Has abstractyes

Explore more

Same venueCahiers de géographie du Québec→Same topicAir Quality and Health Impacts→French-language works237,207→