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Record W4390856763 · doi:10.58079/omdl

l'agence de Notation Note Le Dispositif d'evaluation des projets de recherche du DIU ArTec+ 2019, REPORTAGE

2019· report· fr· W4390856763 on OpenAlexaff
Murzilli Nancy

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2019
Typereport
Languagefr
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsAssociation for Canadian and Québec Literatures
Fundersnot available
KeywordsNotationValuation (finance)HumanitiesMathematicsArtBusinessArithmeticAccounting

Abstract

fetched live from OpenAlex

Lundi 15 avril 2019, à l'Université Paris 8, l’Agence de Notation, animée par Christophe Hanna, a noté de 13h à 16h30 le dispositif d'évaluation des projets de recherche présentés par les étudiants du DIU ArTeC+. Elle a performé ensuite sa notation de 16h30 à 18h30. Commission d’évaluation : Président : Christophe Hanna, Secrétaire : Amélie Ferrand, Jury : Sylvain Bernardi, Mathilde Cassard, Natacha Guiller, Gérard Pantanace “Agence de Notation” désigne un dispositif de performances destiné ...

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)0.088
metaresearch head score (Gemma)0.094
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.912
Threshold uncertainty score0.466

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0880.094
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.006
Science and technology studies0.0040.004
Scholarly communication0.0220.006
Open science0.0030.008
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0330.018

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 head0.254
GPT teacher head0.465
Teacher spread0.211 · 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.

Study designNot applicable
DomainEvaluation
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
Published2019
Admission routes1
Has abstractyes

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