Canada's Marine Species at Risk: Science and Law at the Helm, but a Sea of Uncertainties
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
This article examines, through a three part format, Canada's legislative “lifeboat” for saving species from extinction, the Species at Risk Act (SARA), and how it has fared in its first two years of implementation with a focus on efforts to protect marine fish species. Part I explores how SARA has notionally placed science and law at the helm in the quest to protect endangered and threatened species. COSEWIC, a committee with scientific expertise, has been established to assess the status of wildlife species. SARA provides nine major legal levers for protecting listed species, including general prohibitions against harming species or damaging their residences. Part II highlights the sea of uncertainties being faced in implementation practice. Uncertainties include: contested listing criteria; politically dependent listing decisions; hazy general prohibitions; leeway for incidental harm permitting; recovery strategy and action plan fogginess; critical habitat issues; unsettled relationships with other federal laws; and methodological tensions in how risks should be managed. Part III seeks to chart a course for future legislative and institutional reforms. Besides amendments to SARA, the paper advocates the urgent need to move from “deathbed treatment” to proactive encouragement of biodiversity health through such initiatives as fully implementing Canada's Oceans Act, establishing a network of marine protected areas, and modernizing Canada's antiquated Fisheries Act.
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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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