Two Examples of Cooperation between Libraries and Archives (Powerpoint)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
For some ten years the two professions have been engaged in in-depth reflection on the content of their missions in an environment transformed by the Internet and driven by the digital world. The place of libraries in society has indeed considerably increased while the audiences for archives broadened and diversified. A consensus was reached about the concepts of a one-stop service and of local, national and international networks. This implies an active convergence between libraries, archives, museums and other cultural institutions. Canada and Quebec chose to merge their institutions in the field: Libraries and Archives Canada in 2004 and Bibliotheque et Archives nationales du Quebec between 2002 and 2006. But if the analysis and the inspiration are common, the implementation and the models chosen are distinct but equally interesting: while BAC chose integration, BAnQ preferred harmonization.ction
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.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it