The document heritage of Québec: the preservation, policies and actions for the digitalisation of heritage collections
Bibliographic record
Abstract
Undertaken at the École de bihliothéconomie et des sciences de l'information (EBSI) of the Université de Montréal, this research project examines the digitalisation policies, the preservation and the access to electronic documents in Québec. The purpose of this project was to study the existing policies regarding the scanning of heritage collections in Québec. Our project was anchored in a methodology composed of three stages. Firstly, we examined the UNESCO documents (1972, 1989 and 2003) regarding heritage documents in general and scanned heritage documents in particular. Theoretically, this study allows us to highlight certain basic concepts, such as "heritage collection" (Turcan, 2003), "digitalised heritage" (UNESCO, 2003 and Molinaro, 2005) and the construction of a heritage (Micoud, 2005). Secondly, we analysed the contents of the documents and the proceedings of the cultural institutions involved in numerical information, both federally and provincially in Canada. Finally, we suggest a theoretical model for the policies governing scanning programmes and we examine the scanning of heritage collections at the Bibliothèque and Archives nationales du Québec.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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".