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Record W7119987278 · doi:10.4000/15h8w

Marion Laval-Jeantet, Microbiota : créer et soigner

2025· article· fr· W7119987278 on OpenAlexaboutno aff
Angélique Mangeleer

Bibliographic record

VenueCritique d’art · 2025
Typearticle
Languagefr
FieldSocial Sciences
TopicContemporary art, education, critique
Canadian institutionsnot available
Fundersnot available
KeywordsJargonHuman lifeHumanityHuman being

Abstract

fetched live from OpenAlex

Publié en 2025, Microbiota : créer et soigner est en réalité le catalogue de l’exposition du duo d’artistes Art Orienté Objet (Marion Laval-Jeantet et Benoît Mangin) qui eut lieu à l’été 2016 au musée des Beaux-Arts de Dole et à la Maison natale de Pasteur. Tout au long de ce catalogue, Marion Laval-Jeantet nous narre les aventures médicales et artistiques de son microbiote. Ponctué d’un jargon scientifique rendu compréhensible et visuel, ce récit autobiographique et profondément intime sur ...

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)0.007
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.061
Threshold uncertainty score0.122

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.012
Scholarly communication0.0110.008
Open science0.0010.004
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0120.003

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 head0.016
GPT teacher head0.332
Teacher spread0.316 · 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
Published2025
Admission routes1
Has abstractyes

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