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Record W3020922063 · doi:10.7202/1068657ar

Les sciences de l’information en soutien à la veille technologique : l’exemple de V-TeDDS, veille pour la clientèle avec une double déficience sensorielle

2020· article· fr· W3020922063 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueDocumentation et bibliothèques · 2020
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicCompetitive and Knowledge Intelligence
Canadian institutionsCentre intégré de santé et de services sociaux de la Montérégie-CentreCentre intégré de santé et de services sociaux de Chaudière-AppalachesCentre Intégré de Santé et de Services Sociaux des Laurentides
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

La prise de décision dans une perspective de meilleures pratiques en réadaptation en déficience physique et en contexte de besoins évolutifs de la clientèle, d’obsolescence rapide des technologies et de budgets limités, requiert le soutien de la veille. Cet article présente la naissance et la mise en place du projet V-TeDDS, veille technologique pour la clientèle avec une double déficience sensorielle. Pour ce faire, les auteures campent les définitions et la raison d’être du projet, décrivent le cycle de veille et ses acteurs, traitent du mode de gestion de projet, exposent la méthodologie, s’intéressent aux rôles et défis des professionnels de l’information, puis abordent les étapes à venir.

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)0.002
metaresearch head score (Gemma)0.001
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: Empirical
Teacher disagreement score0.878
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.005
Science and technology studies0.0010.000
Scholarly communication0.0060.014
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.029
GPT teacher head0.320
Teacher spread0.292 · 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