From Peruvian Guano to Electronic Records: Canadian E-Discovery and Records Professionals
Bibliographic record
Abstract
L'augmentation exponentielle des documents numriques a men les archi vistes et les gestionnaires de documents dvelopper des approches de plus en plus sophistiques pour grer et conserver ces documents, non seulement pour appuyer les oprations quotidiennes d'une organisation, mais aussi pour faciliter le reprage de ces documents dans l'ventualit d'un procs.Le processus d'administration de la preuve lectronique a ajout des nouvelles pressions aux responsabilits des professionnels de l'information, puisque les organisations sont tenues responsables des documents qu'elles rendent disponibles aussi bien que de ceux qu'elles ne peuvent pas fournir.En Amrique du Nord, les dcisions des tribunaux amricains par rapport aux ques tions de l'administration de la preuve lectronique ont grandement clips celles des tribunaux canadiens.Cet article fournit une perspective historique de l'mergence de l'administration de la preuve lectronique au Canada et commente des liens entre les professionnels de l'information et les nombreuses dcisions judiciaires canadiennes, de mme qu'avec le processus d'administration de la preuve lectronique.
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How this classification was reachedexpand
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) | 0.001 | 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 teacher head, 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".