Embedded Records Management: A Case Study Emphasizing the Importance of Community as a Key to Success = Gestion des documents intégrée: Étude de cas soulignant l'importance de la communauté comme facteur clé de la réussite
Bibliographic record
Abstract
Embedded librarianship has become increasingly common; however, this concept has not been widely applied to other information professions. We first survey the literature on embedded librarianship as a model of service delivery with a view to identifying those criteria that are considered essential to its success. Next, we demonstrate how best practices in embedded librarianship can inspire and inform a similar practice in another sector of the information professions, namely records management. We present and evaluate a pilot project where a records manager was embedded within the quality assurance team in the Faculty of Graduate and Postdoctoral Studies at the University of Ottawa. In particular, we consider how community-building efforts contributed to the success of this project. Resume: Bien que la notion de bibliotheconomie integree soit de plus en plus connue, cette pratique n’a pas ete si bien integree dans d’autres metiers de l’information. Nous presentons un survol de la litterature portant sur le bibliothecaire integre comme modele de prestation de service afin d’en identifier les criteres essentiels de succes. Ensuite, nous demontrons comment les meilleurs pratiques pour la bibliotheconomie integree peuvent inspirer et informer des pratiques semblables dans le domaine de gestion des documents electroniques. Finalement, nous presentons et evaluons un projet pilote d’integration d’un gestionnaire de documents electroniques au sein de l’equipe d’assurance qualite a la Faculte des etudes superieures et postdoctorales de l’Universite d’Ottawa. Nous considerons particulierement l’importance des efforts de creation de communaute pour le succes du projet.
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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 | 0.014 | 0.044 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.011 | 0.006 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".