Turning Macro-appraisal Decisions into Archival Holdings: Crafting Function-based Terms and Conditions for the Transfer of Archival Records
Bibliographic record
Abstract
Since the National Archives of Canada (now Library and Archives Canada) introduced macroappraisal in 1990, its government records archivists have sought to create terms and conditions for the transfer of archival records based on functions and activities. In 2003, the NA/LAC Terms and Conditions Work Group (TCWG) bridged the divide between appraisal and acquisition by developing the necessary methodology to translate an archivist’s macro-appraisal decisions into disposition tools (the formal Terms and Conditions for the Transfer of Archival Records within the Records Disposition Authority, as well as a complementary Application Guide) that would ensure the identification and selection of archival records in all media. This article places the work of the TCWG within the context of the evolution of federal government record-keeping and macro-appraisal methodology as applied within LAC, and presents an overview of the disposition tools that it produced. RÉSUMÉDepuis que les Archives nationales du Canada (dorénavant Bibliothèque et Archives Canada) ont introduit la pratique de la macro-évaluation en 1990, leurs archivistes responsables des documents gouvernementaux ont tenté d’établir des conditions et des modalités de transfert pour les documents d’archives en tenant compte de l’analyse fonctionnelle. En 2003, le groupe de travail des modalités de transfert (GTMT) des AN/BAC a fait le lien entre l’évaluation et l’acquisition en élaborant la méthodologie nécessaire pour assurer que les décisions de l’archiviste découlant de la macro-évaluation se traduisent en une documentation pour disposer des documents (les conditions et les modalités pour le transfert de documents archivistiques dans l’autorisation de disposer des documents, ainsi que le guide d’application complémentaire). Ces outils permettent aux archivistes d’assurer l’identification et la sélection de documents d’archives dans tous les médias. Cet article situe le travail du GTMT dans le contexte de l’évolution de la gestion des documents du gouvernement fédéral et de la méthodologie de la macro-évaluation telle qu’elle est employée à BAC, puis il présente un survol de la documentation produite par le GTMT pour disposer des documents.
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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 | 0.022 | 0.108 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.003 | 0.011 |
| Scholarly communication | 0.018 | 0.021 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.018 | 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".