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Record W94594338 · doi:10.4000/books.inha.902

Le patrimoine architectural moderne en contexte africain

2005· book-chapter· fr· W94594338 on OpenAlexaff
Lazare Eloundou

Bibliographic record

VenuePublications de l’Institut national d’histoire de l’art eBooks · 2005
Typebook-chapter
Languagefr
FieldSocial Sciences
TopicGlobal Maritime and Colonial Histories
Canadian institutionsCanadian Heritage
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

La conservation et la gestion du patrimoine issu du mouvement moderne en Afrique subsaharienne reste encore une question dont les contours n’ont pas été suffisamment analysés. D’où les difficultés existantes de nos jours pour son acceptation et sa compréhension par les professionnels et les populations de cette région d’Afrique. Les rares analyses des réalisations encore visibles en région subsaharienne montrent que le contexte colonial en Afrique subsaharienne a été très favorable au développement de l’école de pensée du mouvement moderne. Les expérimentations qui y ont été menées ont contribué au développement de connaissances technologiques et architecturales. Cette contribution voudrait tout d’abord apporter un éclairage sur ce qui pourrait être considéré comme la “ lecture africaine ” du patrimoine issu du mouvement moderne, dans le but de soutenir la démarche visant à examiner le “ modernisme hors de l’Occident ” dans toutes les régions du monde. Elle voudrait également montrer l’importance d’assurer la préservation des derniers témoins visibles, en ne se fondant pas uniquement sur la grille d’analyse du mouvement moderne, mais aussi sur une compréhension de leur signification culturelle en tant que fruit d’un métissage culturel et non comme empreinte d’une tradition architecturale européenne en territoire africain.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.007
Scholarly communication0.0050.004
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.017
GPT teacher head0.249
Teacher spread0.232 · 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

Citations6
Published2005
Admission routes1
Has abstractyes

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