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Record W4403630077 · doi:10.3917/rsg.324.0001

Mobilisé(e)s

2024· article· fr· W4403630077 on OpenAlexaboutno aff
Philippe Naszályi

Bibliographic record

Venue˜La œRevue des sciences de gestion/˜La œRevue des sciences de gestion, Direction et gestion · 2024
Typearticle
Languagefr
FieldAgricultural and Biological Sciences
TopicAgriculture and Rural Development Research
Canadian institutionsnot available
Fundersnot available
KeywordsZymomonas mobilisBiologyFood scienceFermentation

Abstract

fetched live from OpenAlex

En France, des Etats-généraux de l’information ont convoqués par la Président de la République, nous présentons les contributions (page 59) de deux institutions légitimes La liberté de la Presse est un pilier de la démocratie qui comporte aussi celui de la santé. Nous organisons un 2 e colloque sur ce thème, le 13 juin 2024 : Pouvoir d’agir des usagers en France et au Québec : partage de connaissances pour une plus grande démocratie en santé qui se tiendra en visioconférence. (Appel à communications en 4 e page de couverture) ! Sandra Bertezène et sa collègue Fatima Yatim font le pont entre ces deux colloques, posant la question de recherche fondatrice : Quel cadre épistémologique pour la démocratie en santé ? (page 11). La crise sanitaire elle, a eu un impact sur les organisations et des effets sur les populations. Ce sont les titres des deux dossiers de ce numéro. Si la crise sanitaire a bien changé nombre de comportements, ne renonçons pas à exercer tout esprit critique qui fonde la recherche scientifique et acceptons de débattre de tout avec tous, en toute liberté, pour défendre la liberté de la presse, quelle qu’elle soit, qu’elle partage ou non nos idées. Nous serons alors mobilisés pour de vrai et pour de vraies valeurs !

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.362
Threshold uncertainty score0.910

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0050.003
Scholarly communication0.0090.007
Open science0.0010.008
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.3620.137

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 head0.330
Teacher spread0.219 · 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
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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venue˜La œRevue des sciences de gestion/˜La œRevue des sciences de gestion, Direction et gestionSame topicAgriculture and Rural Development ResearchFrench-language works237,207