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Record W3102440317 · doi:10.7202/1072774ar

Sentir le monde

2020· article· fr· W3102440317 on OpenAlexaffvenueabout
David Howes, Anne-Hélène Kerbiriou

Bibliographic record

VenueAnthropologie et Sociétés · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsConcordia UniversityMcGill University
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Cet essai se penche sur la normalisation de la perception dans la modernité en prenant pour axe la construction matérielle et juridique de l’environnement bâti. Il commence par une analyse de l’ambiance sensorielle du gratte-ciel et du bungalow et de leur impact sur la formation des subjectivités de ceux qui y habitent. Il examine ensuite le problème de la sensation excessive — à savoir les bruits et les odeurs indésirables et les autres effluves qui sont l’inévitable sous-produit de la vie en société dans des concentrations de population toujours plus importantes. Quelles sont les limites du tolérable ? Comment la loi intervient-elle dans la gestion du sensible ? Nous explorons ces questions en faisant référence en particulier à la notion d’« obligations de voisinage » dans le droit civil québécois. Nous concluons que tout compte rendu de la perception de l’environnement doit être au diapason de la normalisation de l’expérience des sens au sein d’un régime sensoriel particulier — ou de l’indissociabilité du social, du matériel et du sensible.

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)0.002
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.095
Threshold uncertainty score0.189

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0070.024
Scholarly communication0.0080.006
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0200.003

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 head0.401
GPT teacher head0.548
Teacher spread0.147 · 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

Citations0
Published2020
Admission routes3
Has abstractyes

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