Bibliographic record
Abstract
Le paysage archivistique québécois est marqué par plusieurs figures de proue. Ces archivistes ont permis, et permettent encore aujourd’hui, la valorisation de la profession auprès du grand public ainsi que l’implantation de cadres et de procédés assurant une meilleure gestion des archives. Parmi ces archivistes, Gilles Héon a célébré ses cinquante années d’adhésion et d’implication auprès de l’Association des archivistes du Québec en 2020. À travers plus d’une centaine de textes, de contributions et de communications, Gilles Héon a su faire valoir l’importance de la profession et le rôle primordial des archives dans l’écriture de l’histoire nationale. L’article propose une rétrospective des écrits les plus marquants de Gilles Héon ayant été publiés entre 1971 et 2017. Sont abordées la fonction historique des Archives nationales du Québec et l’importance de l’Inventaire national ; suivis des écrits traitant de la classification et des instruments de recherche, en soulignant le rôle central des plans de classification, dans le traitement et la mise en valeur des documents ; viennent ensuite les archives religieuses, ayant une portée historique indéniable, mais dont, faute de ressources, la conservation est menacée ; puis finalement, les écrits portant sur la gestion des documents personnels.
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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.020 | 0.015 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.014 | 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".