El sistema arxivístic del Quebec (Canadà): comparació amb el sistema arxivístic català
Bibliographic record
Abstract
La present obra té per objectiu particularitzar i parangonar el sistema arxivístic de la província del Quebec, al Canadà, i el sistema arxivístic de Catalunya. De cascun, se n'analitzen els òrgans directors i consultius, quins centres en formen part i si hi ha una xarxa de centres, els lligams que hi ha entre els diferents arxius i la reglamentació en matèria d’arxius. També s'hi estudia la política de gestió documental a les etapes del cicle de vida dels documents i aspectes com ara el personal i la política envers els arxius privats.\nHom dedica un capítol propedèutic a definir què és un sistema arxivístic, explanar quins són els seus elements constitutius i els models que hi ha. Encontinent, es descriu el sistema arxivístic de Catalunya i el del Quebec. Per concloure, es comparen tots dos sistemes per tal d’escatir semblances i diferències i extreure'n conclusions.Sistema arxivístic, xarxa d'arxius, normativa arxivística, política de gestió documental, personal d'arxius, Catalunya, Quebec, Canadà.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.016 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 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; 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".