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Record W3024300011 · doi:10.3917/i2d.201.0061

Implanter un modèle adéquat de veille active

2020· article· fr· W3024300011 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueI2D - Information données & documents · 2020
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicCompetitive and Knowledge Intelligence
Canadian institutionsHydro-Québec
Fundersnot available
KeywordsPolitical scienceHumanitiesPhysicsPhilosophy

Abstract

fetched live from OpenAlex

L’accélération exponentielle de l’innovation technologique, la croissance et l’évolution des marchés, ainsi que les mutations dans les comportements de consommation, induisent des changements importants dans les modèles d’opération et les systèmes de gestion des entreprises. La transition énergétique est une des conséquences de ces transformations. C’est dans ce contexte que le Centre de recherche d’Hydro-Québec (CRHQ) a missionné son équipe Gestion de l’information : il s’agissait de mettre en place un dispositif de veille active, capable d’assurer une surveillance constante de l’environnement informationnel, en détectant les signes indicateurs de changements importants. Cet article retrace le cheminement de l’équipe pour concevoir et implanter un modèle optimal de veille, agrégé à partir de plusieurs modèles existants, puis adapté et personnalisé, afin de répondre adéquatement aux besoins informationnels et stratégiques spécifiques du CRHQ.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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 score0.801
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.011
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.024

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 head0.026
GPT teacher head0.234
Teacher spread0.207 · 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