Bibliographic record
Abstract
La Bibliothèque de l’Assemblée nationale du Québec répond aux demandes d’information et de recherche des différentes communautés parlementaires. À l’automne 2017, le service de la référence de la Bibliothèque a entamé un processus de conception d’un système de gestion des demandes de référence à l’aide d’Ultima, un logiciel de gestion intégrée de l’information. Ce système – implanté officiellement au sein de l’équipe en août 2018 – est devenu une grande source d’information sur les différents publics de la Bibliothèque et a permis à l’institution de mieux servir ses différentes clientèles. Afin que l’expérience de la Bibliothèque profite à d’autres institutions documentaires, cet article explique le processus d’implantation d’un système de gestion des demandes au sein d’un service de la référence, et dévoile le potentiel d’un tel système dans l’acquisition d’une meilleure connaissance des publics et de leurs besoins d’information.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.025 | 0.049 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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; both teacher heads agree on what is shown here.
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".