Changing Environments: Tracking the Scientific, Socio-political, Legal, and Ethical Currents of the Grey Seal-Cod Debate in Atlantic Canada
Bibliographic record
Abstract
Click to increase image sizeClick to decrease image size Acknowledgments Authors listed alphabetically. This research was supported by the Ocean Tracking Network (OTN) through a network project grant (NETGP #375118-08) from the Canada Natural Sciences and Engineering Research Council (NSERC) with additional support from the Canadian Foundation for Innovation (CFI, Project #13011), and the Social Sciences and Humanities Research Council (SSHRC #871-2009-0001). The authors gratefully acknowledge the review and comments by Richard Apostle, Sara Iverson, and Don Bowen on drafts of this article. The author gratefully acknowledges the support of the Social Sciences and Humanities Research Council (Joseph-Armand Bombardier Canada Graduate Scholarship), the Canadian Council on International Law (John Peters Humphrey Fellowship), and the Killam Scholarship.
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How this classification was reachedexpand
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 | 0.001 |
| 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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".