La gestion de l’information au service de la transformation numérique du gouvernement du Canada : d’hier à demain
Bibliographic record
Abstract
De nos jours, les organisations gouvernementales tirent profit des technologies de l’information pour soutenir la gestion de l’information documentaire à des fins d’amélioration de la qualité de la prestation des services publics et d’optimisation de la communication avec le public. Le numérique se veut ainsi un moyen mis à profit pour réinventer de la relation citoyenne à l’État, et ce, par le déploiement de plusieurs stratégies à cette fin. Parmi celles-ci, on note le déploiement des plateformes du gouvernement en ligne, du gouvernement ouvert et des données gouvernementales ouvertes. Cette contribution se propose d’aborder les manifestations de ces stratégies dans le contexte gouvernemental canadien. Chacune de celles-ci préfigure des logiques différentes de gestion de l’information et engendre des enjeux qui sont à pallier par les archivistes, notamment en mobilisant le potentiel de l’intelligence artificielle dans une telle optique.
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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.009 | 0.009 |
| Scholarly communication | 0.013 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.001 |
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.
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".