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Record W2289860708 · doi:10.4000/lha.418

Le collège Sainte-Barbe de Paris : des frères Labrouste à Ernest Lheureux

2007· article· fr· W2289860708 on OpenAlexaff
Annabelle Lebarbé

Bibliographic record

VenueLivraisons d histoire de l architecture · 2007
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsCegep de Sainte Foy
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Ouvert en 1460 au coeur du quartier latin, contraint de fermer ses portes en 1793, le collège Sainte-Barbe renaît en 1798 grâce à Victor de Lanneau. Les directeurs successifs de l'établissement vont assurer son développement et lui donner des bâtiments nouveaux, avec la construction du collège en 1840 par les frères Labrouste, puis celle de l'école préparatoire en 1881-1884, par Ernest Lheureux. L’exemple de Sainte-Barbe se révèle particulièrement intéressant à une période où se définissent peu à peu une politique en faveur de l’enseignement secondaire et les réponses architecturales qui correspondent. Institution privée non confessionnelle, Sainte-Barbe dispose d’une grande liberté pour mettre en œuvre ses propres solutions innovantes en matière d'architecture scolaire, et bénéficie en outre du très fort esprit de corps de ses anciens élèves, qui lui permet de faire face aux difficultés financières. L'institution est ainsi l'une des premières à construire à Paris des bâtiments scolaires entièrement neufs et adaptés à leurs fonctions.

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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.441
Threshold uncertainty score0.877

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 studies0.0160.005
Scholarly communication0.0040.001
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0350.004

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 head0.010
GPT teacher head0.210
Teacher spread0.200 · 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

Citations0
Published2007
Admission routes1
Has abstractyes

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