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Record W3106772361 · doi:10.3917/i2d.202.0036

Les pratiques éditoriales à l’ADBS

2020· article· fr· W3106772361 on OpenAlexaff
Danielle Dufour-Coppolani

Bibliographic record

VenueI2D - Information données & documents · 2020
Typearticle
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Dès sa genèse, l’ Association des professionnels de l’information et de la documentation a développé une, ou plutôt des pratiques éditoriales. Adossées aux innovations technologiques et aux mutations de la fonction documentaire, ces pratiques s’inscrivent dans une logique de partage, de communication et de transfert de savoirs ; elles s’appuient sur des savoir-faire et des processus professionnels. Le produit phare de l’ADBS, la revue I2D, en témoigne. Objectifs : répondre au mieux aux préoccupations de ses adhérents, capitaliser, apporter de la valeur ajoutée. Entre production (via des ouvrages et des revues), gestion et transformation de contenus (via le site, les réseaux, les groupes participatifs), et formations (via les stages), l’ADBS explore de vastes territoires éditoriaux. Pour autant, elle ne cesse de se questionner et de s’adapter, dans un modèle de work in process .

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)0.025
metaresearch head score (Gemma)0.149
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.975
Threshold uncertainty score0.155

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.149
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.006
Science and technology studies0.0080.008
Scholarly communication0.0250.015
Open science0.0030.006
Research integrity0.0080.013
Insufficient payload (model declined to judge)0.0460.025

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 head0.229
GPT teacher head0.322
Teacher spread0.093 · 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
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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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