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Record W1038453841 · doi:10.4000/lha.432

La piscine municipale de Bruay-en-Artois et le socialisme municipal d’Henri Cadot

2007· article· fr· W1038453841 on OpenAlexaff
Marc Verdure

Bibliographic record

VenueLivraisons d histoire de l architecture · 2007
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Pendant l’entre-deux-guerres, beaucoup de municipalités se mirent à rivaliser avec les organismes privés au sujet de l’urbanisme, considéré désormais comme un outil au service de l’amélioration du cadre de vie des habitants. Dans ce contexte, l’architecture sportive tient une place particulière, en particulier à l’époque où l’on tente de remettre le sport à l’honneur. L’exemple de la commune de Bruay-en-Artois (aujourd’hui Bruay-Labuissière dans le Pas-de-Calais) et de la construction de sa piscine en plein air vers 1935-1936 illustre les débats électoralistes qui s’élevèrent à ce moment, en particulier sur le climat de lutte politique entre les socialistes (ici Henri Cadot, député et sénateur) et la puissante compagnie des mines de Bruay, pour s’assurer de la mainmise sur les habitants. En outre, la piscine est l’une des premières en France à s’intégrer au sein d’un ensemble sportif cohérent (parc, stade), dénotant ainsi le souci des concepteurs de lier sport et santé publique. Enfin, sur ce chantier, l’architecte Paul Hanote (1879-1953) se montre comme un tenant de l’Art déco (goût pour les horizontales, la symétrie, les lignes droites) et applique les principes fonctionnalistes énoncés dans les revues spécialisées autour de l’utilisation de matériaux modernes et simples mais privilégiant le monumentalisme.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.317
Threshold uncertainty score0.630

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0080.005
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0190.001

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 head0.012
GPT teacher head0.244
Teacher spread0.231 · 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 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

Citations2
Published2007
Admission routes1
Has abstractyes

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