"National Significance": The Evolution and Development of Acquisition Strategies in the Manuscript Division, National Archives of Canada
Bibliographic record
Abstract
Les questions reliées à l'acquisition de documents privés ainsi qu'à leur « importance nationale » furent une préoccupation constante dans le secteur des archives multiculturelles et, plus généralement, dans le domaine des archives sociales et culturelles.Cet article décrit l'évolution des diverses tentatives de la Division des manuscrits des Archives nationales du Canada pour trouver des réponses à ces questions.Il examine aussi quelques-unes des pressions, venues tant que l'intérieur que de l'extérieur des Archives nationales, pour produire des solutions acceptables.En l'absence de solutions appropriées, l'accent peut quelquefois être mis sur le processus et les procédures.L'auteur de cet article a participé à ces efforts mais en fut également un observateur attentif et intéressé.ABSTRACT Questions relating to acquisition of private records and "national significance" have been a constant preoccupation in the area of multicultural archives and, more generally, in the area of social and cultural archives.This article describes the evolution of the various attempts to provide answers to these questions in the Manuscript Division of the National Archives of Canada.It looks at some of the pressures to produce generally acceptable solutions from both within and outside the National Archives.In the absence of appropriate solutions, emphasis may shift to process and procedures.The author wrote this article as a participant in these efforts and, also, as an interested observer.
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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 | 0.017 | 0.057 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.020 | 0.013 |
| Scholarly communication | 0.021 | 0.005 |
| Open science | 0.004 | 0.009 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".