Judging in the Time of a Pandemic:The Impact of COVID-19 on Bail and Sentencing in Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
At “the end of 2019 the World Health Organization was alerted to several cases of pneumonia in Wuhan, China, caused by an unknown virus. On 7 January 2020, China advised the world that a new coronavirus was the cause, later labelled SARS-CoV-2. It causes the disease known as COVID-19. In mid-January 2020, the Public Health Agency of Canada activated the Emergency Operation Centre in support of Canada’s response to COVID-19. On 22 January 2020, Canada implemented COVID-19 screening requirements for travelers returning from China. On 25 January 2020, Canada confirmed its first case of COVID-19 related to travel from Wuhan, China. On 9 March 2020, Canada recorded its first death related to COVID-19” (see Taylor v. Newfoundland and Labrador, 2020 NLSC 125, at paragraphs 29 to 31).
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.
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 | 0.001 |
| 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) | 0.000 | 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 it