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Record W2981127846 · doi:10.5206/mfds-ecfw.v4i1.8396

Architec(x)tures, introduction & préface du dossier « Transferts et confrontations transatlantiques » sous forme de rapport de conférence

2019· article· fr· W2981127846 on OpenAlexaffvenueabout
Servanne Woodward

Bibliographic record

VenueLe Monde français du dix-huitième siècle · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsArtHumanitiesArt history

Abstract

fetched live from OpenAlex

Concernant l’architecture projetée par la fiction textuelle, Béatrice Didier a inauguré l’étude architecturale des textes. Ce numéro complète celui de L’espace public de la sphère domestique, avec l’introduction de Thierry Belleguic, «Planning for Privacy» de Reed Benhamou, «Une chambre a soi» par Marie Laure Girou Swiderski, «Jean-Philippe Rameau» par Lane HelIer, «Chardin's Domestic Rhetoric and the Poetics of the Private and Public Sphere» d’Heather McPherson, «Violence and Persecution in the Drawing-Room», d’Antoinette Sol, «Woman, Æsthetics and Natural History » d’Anne-Marie Link, dont les articles peuvent être consultés à https://ir.lib.uwo.ca/frenchebooks/2/
 Concernant les articles du dossier « Transferts et confrontations transatlantiques », il s’agit d’articles sélectionnés par rapport à la conférence de Toulon sur ce thème, et qui a eu lieu dans les locaux de cette université les 28-29 mars, 2019, sous l’égide de l’UFR Lettres, Langues et Sciences Humaines de Toulon, avec le concours du laboratoire Babel (EA26491) et en collaboration avec LERMA (EA853, Aix-Marseille Université), le GRIC (EA4314), Université Le Havre-Normandie, l’Université de Western Ontario, et ouvert par Xavier Leroux, directeur de l’UFR Lettres, Langues et Sciences Humaines, de l’Université de Toulon ; le numéro suivant aura une suite de ce dossier pour les articles en anglais.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.785
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.240
Teacher spread0.223 · 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 teacher head, not a consensus.

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
Published2019
Admission routes3
Has abstractyes

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