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Record W3021274907 · doi:10.7202/1068659ar

Développer un service de veilles informationnelles en santé et services sociaux

2020· article· fr· W3021274907 on OpenAlexaffvenue
Nancy Gadoury

Bibliographic record

VenueDocumentation et bibliothèques · 2020
Typearticle
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsCentre intégré de santé et de services sociaux de Chaudière-Appalaches
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Dans les cinq dernières années, la bibliothèque du Centre intégré de santé et de services sociaux (CISSS) de Lanaudière a entrepris de systématiser et de mettre en ligne ses services afin de répondre aux nouveaux besoins de l’organisation. L’offre de services de veilles informationnelles a été révisée en entier afin de s’adapter à ces nouvelles réalités. De veilles spécialisées, les veilles informationnelles sont devenues thématiques. Les processus, quasi entièrement faits manuellement, ont été renouvelés et automatisés pour pallier aux contraintes de ressources et de temps. C’est l’outil Kentika Press qui a été choisi pour enregistrer les fils RSS et créer les bulletins de veilles. Plus d’utilisateurs peuvent désormais bénéficier des services de veilles informationnelles et les premières évaluations du projet sont encourageantes.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.634
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
Bibliometrics0.0000.004
Science and technology studies0.0000.000
Scholarly communication0.0200.062
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.130
GPT teacher head0.371
Teacher spread0.240 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2020
Admission routes2
Has abstractyes

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