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Record W3044714608

L'architecture active : comment l’architecture peut-elle prendre soin de ses usagers en favorisant l'activité physique ?

2019· article· fr· W3044714608 on OpenAlexaboutno aff
Marjorie Besset

Bibliographic record

VenueINRIA a CCSD electronic archive server · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt
DOInot available

Abstract

fetched live from OpenAlex

Le mémoire s’intéresse au lien entre architecture et santé publique à travers l’active design, outil de conception urbaine et architecturale développé dans certains pays comme le Danemark, l’Angleterre, le Canada et les États-Unis. L’étude de l’incidence de l’environnement bâti sur l’activité physique est en effet en plein développement. Le défi architectural n’est plus de lutter contre les maladies infectieuses comme au XXe siècle avec une attention portée sur la lumière, la ventilation et l’assainissement, mais de lutter contre les maladies chroniques telles que l’obésité, les allergies, l’asthme, les cancers... Dans les pays développés, l’incidence de ces pathologies liées au mode de vie engendre des dépenses de santé et la hausse de ces maladies a fait éveiller une récente prise de conscience des pouvoirs publics. Le mémoire s’intéresse à ce lien étroit entre la conception d’un espace et la mobilité des usagers. Il s’appuie sur l’analyse de deux bâtiments, la caisse cantonale des assurances maladies de Givisiez (Suisse) et l’école d’architecture de Nantes. Il questionne également les limites et les aspects positifs de cette manière singulière de penser l’architecture sur la santé des usagers.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.841
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.003
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 head0.013
GPT teacher head0.256
Teacher spread0.243 · 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 designNot applicable
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

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueINRIA a CCSD electronic archive serverSame topicFrench Urban and Social StudiesFrench-language works237,207