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Record W3198662138 · doi:10.4000/books.pupo.7770

Perdre le nord, l’image au corps. Une écriture de la mobilité

2015· book-chapter· fr· W3198662138 on OpenAlexaff
Richard Bégin

Bibliographic record

VenuePresses universitaires de Paris Nanterre eBooks · 2015
Typebook-chapter
Languagefr
FieldArts and Humanities
TopicFrench Historical and Cultural Studies
Canadian institutionsCanadian Institute for International Peace and Security
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

Vous êtes témoin d’un événement ? Vous avez des images qui pourraient faire la manchette ? Ainsi serez-vous accueilli sur le site Web MonTopo, propriété de la corporation Québecor. Ce site permet à quiconque de téléverser et de partager les images vidéos d’un événement qui, nous dit-on, « pourrait faire la manchette ». On y retrouve, pêle-mêle, des images de tempêtes, de manifestations, d’accidents et autres faits divers pour la plupart captés à l’aide d’un téléphone portable. Tout événement...

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)0.001
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 score0.093
Threshold uncertainty score0.184

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.008
Scholarly communication0.0070.004
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0180.006

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 head0.024
GPT teacher head0.216
Teacher spread0.192 · 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

Citations1
Published2015
Admission routes1
Has abstractyes

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