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
In Dunsmuir v. New Brunswick, the Supreme Court re-examined its approach to judicial review of administrative decisions to develop a "more coherent and-workable" framework. It merged the deferential standards of reasonableness simpliciter and patent unreasonableness into a single reasonableness standard and emphasized the importance of precedent in determining the standard applicable to a specific category of decision makers. The author makes a preliminary assessment of Dunsmuir's impact on judicial review through an analysis of recent Canadian appellate decisions. He concludes that, white Dunsmuir simplifies the standard of review analysis by encouraging courts' reliance on satisfactory precedents and guidelines to determine the appropriate standard, there is a risk that courts may uncritically adhere to inappropriate precedents or carry out unduly intrusive review by inappropriately characterizing as jurisdictional the questions before them. Substantive review retains its complexity, which now resides at the stage of courts' application of the merged reasonableness standard.
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 | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it