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Record W4400683006 · doi:10.3917/i2d.241.0107

Les métiers de l’information de demain : Cinq défis à relever

2024· article· fr· W4400683006 on OpenAlex
Bernard Jacquemin, Stéphane Chaudiron

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueI2D - Information données & documents · 2024
Typearticle
Languagefr
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsBibliothèque et Archives nationales du Québec
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Dans une société que, depuis un demi-siècle, on s’entend à qualifier d’informationnelle, les professionnels de l’information occupent une position clé pour le développement des organisations publiques et privées. Or, en cinquante ans, le contexte a considérablement changé, que ce soit dans la nature de l’information elle-même, dans les méthodes de gestion et d’accès, dans les outils qui mettent en œuvre ces méthodes, ainsi que dans les pratiques et les usages. Face aux mutations de leur écosystème, les compétences des professionnels doivent donc constamment s’ajuster. Bernard Jacquemin et Stéphane Chaudiron identifient cinq défis à relever : la mouvance Open Science , l’ouverture des données, l’IA, le web social, l’engagement éthique.

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.

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)0.007
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.743
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.022
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.012

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 head0.060
GPT teacher head0.424
Teacher spread0.365 · 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