An Update on Self-Regulation in the Legal Profession (1989–2000): Funnel In and Funnel Out
Bibliographic record
Abstract
Résumé L'article analyse le traitement des plaintes contre des avocats par le système disciplinaire de la Law Society de la Colombie Britannique, de 1989 à 2000. Il pose aussi un regard sur les contextes changeants dans lesquels ce système a opéré entre le moment d'une enquête antérieure (1978 à 1988) et celle-ci. Le traitement réservé aux plaintes est examiné dans une perspective qui tient compte de la manière dont elles sont entrées ( funnel in ) et ensuite réduites en nombre par le système disciplinaire ( funnel out ). Finalement, l'avenir de l'autorégulation est évalué à la lumière de négociations et d'ajustements de l'autorégulation de la profession qui se sont produits ailleurs.
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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 | 0.007 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.018 | 0.017 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".