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Record W4387333102 · doi:10.18162/fp.2023.a284

Entretien avec Claude Lessard

2023· article· fr· W4387333102 on OpenAlexaffvenue
Martial Dembélé, Mourad Bacha

Bibliographic record

VenueFormation et profession · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

Martial Dembélé : Bonjour, professeur Lessard.Je voudrais d'abord vous remercier d'avoir accepté de nous rencontrer pour échanger sur un collègue, un ami, un collaborateur de longue date avec qui vous avez beaucoup travaillé.Mourad Bacha et moi avons rencontré Maurice Tardif pour une entrevue et vous faites partie des personnes qui ont été marquantes dans sa carrière.Je le cite : « Au départ, c'est Claude Lessard qui m'a amené là-dedans.J'ai adoré Claude, j'ai découvert qu'il était conceptuel et j'ai toujours été conceptuel ».C'est comme cela qu'il a parlé de vous.Nous avons donc pensé que ce serait pertinent d' échanger avec vous également sur Maurice, sa carrière, votre collaboration.

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 categoriesInsufficient 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: none
Teacher disagreement score0.536
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.004

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 head0.052
GPT teacher head0.329
Teacher spread0.277 · 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
Published2023
Admission routes2
Has abstractyes

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