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Record W2766132689 · doi:10.4000/cel.825

S’approprier un modèle français en Iran ? L’architecte André Godard (1881-1965) et la conception des musées iraniens

2017· article· fr· W2766132689 on OpenAlexaff
Sarah Piram

Bibliographic record

VenueLes cahiers de l École du Louvre · 2017
Typearticle
Languagefr
FieldEarth and Planetary Sciences
TopicArchaeological Research and Protection
Canadian institutionsMusée de la Civilisation
FundersAgence Nationale de la Recherche
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

L’histoire des musées en Iran débute dans la deuxième moitié du xixe siècle et connaît sa phase la plus importante dans les années 1930, au moment de l’inauguration du musée Irān Bāstān, le musée d’archéologie nationale conçu par l’architecte français André Godard (1881-1965). Situé à Téhéran, ce monument emblématique incarne une période de modernisation et de nationalisme exacerbé sous le règne de Reza Shah Pahlavi (r. 1925-1941). Le fonds Godard, conservé au musée du Louvre, nous renseigne sur les politiques mémorielles et patrimoniales instaurées en Iran entre 1928 et 1960 et dont la marque est encore sensible aujourd’hui.

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)0.004
metaresearch head score (Gemma)0.003
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: Other · Consensus signal: Other
Teacher disagreement score0.208
Threshold uncertainty score0.413

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.011
Scholarly communication0.0060.006
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.030
GPT teacher head0.255
Teacher spread0.225 · 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
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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