Bibliographic record
Abstract
What ethos is appropriate to the modern act of criminal judgment? in the long history of the criminal trial, passing judgment on the accused was, for the adjudicator, a fearful act filled with the ologically inspired anxiety. This paper argues that, despite the contemporary attenuation of this specific form of anxiety, criminal judgment ought still to be infused with a due sense of the perils associated with passing legal and moral judgment upon another. This piece considers Justice Bertha Wilson’s criminal law jurisprudence, arguing that, apart from her substantive contributions, her legacy in this field is to embody an adjudicative ethos and posture conditioned by a keen appreciation of the limits and dangers of criminal adjudication.A close examination of her decisions reveals a judge who is palpably aware of the complexities of the lives that appear before her, the violence of the criminal law and the consequent imperative to proceed with caution and humility. In this, her jurisprudence serves as an ethical resource: we should want judges who, seized with a keen sense of both the limits and consequences of the criminal law, tremble at the moment of judgment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.023 | 0.061 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.073 |
| Scholarly communication | 0.013 | 0.012 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.005 | 0.010 |
| Insufficient payload (model declined to judge) | 0.003 | 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".