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
Bibliographic record
Abstract
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.009 |
| Science and technology studies | 0.004 | 0.012 |
| Scholarly communication | 0.022 | 0.019 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".