Judicial Oversight in the Comparative Context: Biodiversity Protection in the United States, Australia, and 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
How effective are courts as policymaking institutions? \nGenerally speaking, courts play a far larger role \nin American biodiversity law than they do in comparable \nAustralian and Canadian statutory programs. As \na result, studying endangered species protection offers \na useful way to identify and isolate the policy impacts \nof judicial intervention. In the two cases I examine, \nthe American system functioned at least as well as, \nand sometimes better than, the biodiversity programs \nin Australia and Canada. Contrary to most scholarship \non the topic, lawsuits did not appear to slow the \nAmerican policymaking process significantly; rather, \nlitigation helped enforce important legal provisions \nand forced government officials to address critical \nshortcomings in their regulatory actions. At least in \nthese cases, then, litigation acted as a productive and \nuseful part of the policymaking process.
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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 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