Evolving perspectives on urban wildlife and their implications for policy-making in Charlottetown, Prince Edward Island
Bibliographic record
Abstract
This research explores how apparent challenges to good urban wildlife conservation and management in Charlottetown, Prince Edward Island, Canada are shaped by the phenomenon of islandness. The work focuses on a Foucauldian case study of Charlottetown in the context of Prince Edward Island. It includes a narrow theoretical comparison between Charlottetown and Denver, Colorado, to bring islandness into\nclearer view. The case study describes some distinct ways of human thought about and behavior towards wild nonhumans that influence wildlife governance in Charlottetown: using, getting rid of, helping, learning about, and being humane towards wild nonhumans. The Denver parallel brings to the fore the question of whether any level of government on Prince Edward Island holds wildlife in the public trust. Overall, the\nresearch suggests that the resolution of human-human conflicts about wild nonhumans and human-wildlife conflicts in Charlottetown should involve informal public trust managers on Prince Edward Island.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.016 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".