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Record W2094896124 · doi:10.4000/insitu.611

Un outil pour la mise en valeur de l’architecture du XXe siècle : l’édition de proximité et ses produits

2011· article· fr· W2094896124 on OpenAlexaff
Gérard Monnier

Bibliographic record

VenueIn Situ · 2011
Typearticle
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsCanadian Heritage
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Le guide d’architecture est devenu un ouvrage de référence, au contenu scientifique incontestable. Mais il atteint ses limites : devenu un ouvrage de 300 à 400 pages, lourd, quelquefois démultiplié en plusieurs volumes, il n’a plus de guide que le nom. D’autres formes de publications sont possibles, que nous réunissons sous le terme générique de produits de l’édition de proximité (PEP) ; sous la forme de la fiche, de la notice, du dépliant, ou de la mini brochure, les PEP se sont imposés dans les années 1990 et depuis. Contenu monographique, association de l’image et du texte, forme concise du texte, unité du lieu, informations pratiques, distribution gratuite : le PEP est un outil léger, mais capable de hautes performances. Il est élaboré dans une perspective de communication (qui le rapproche de la presse imprimée), d’intervention (qui en fait un outil pour une manifestation locale) et de service (qui en fait un mode d’emploi : horaires d’accès, et itinéraire de visite) ; il n’appartient pas en général au circuit de l’industrie du livre et échappe (à tort) le plus souvent au principe du dépôt légal. Sa distribution s’écarte des structures de la diffusion ; le PEP fait l’objet d’une diffusion locale exclusive : une diffusion sur place, une mise à la disposition du public en accès libre et hors commerce.

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)0.003
metaresearch head score (Gemma)0.007
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 score0.030
Threshold uncertainty score0.102

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0040.006
Scholarly communication0.0160.011
Open science0.0010.004
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0300.010

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 head0.111
GPT teacher head0.279
Teacher spread0.168 · 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
Published2011
Admission routes1
Has abstractyes

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