The Impact of the Supreme Court of Canada's Decision (Jordan) [Custom Tabulation] [Excel]
Bibliographic record
Abstract
This is a custom tabulation from Statistics Canada. This product is based on data from the adult component of the Integrated Criminal Court Survey (ICCS). The ICCS is administered by the Canadian Centre for Justice and Community Safety Statistics (Statistics Canada) in collaboration with provincial and territorial government departments responsible for criminal courts in Canada. The survey collects statistical information on adult and youth court cases involving Criminal Code and other federal statute offences. Data contained in this table represent the adult criminal court portion of the survey, namely individuals who were 18 years of age or older at the time of the offence. Data are based on a fiscal year (April 1 through March 31). There are many factors that influence variations between jurisdictions. These may include Crown and police charging practices, offence distributions, and various forms of diversion programs. Therefore, comparisons between jurisdictions should be interpreted with caution. Integrated Criminal Court Survey (ICCS) data for Quebec were not available for 2021/2022.
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 | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.010 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.108 | 0.036 |
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".