Bibliographic record
Abstract
* Jickling, Faculty of Education, Lakehead University, 955 Oliver Road, Thunder Bay, Ontario, Canada P7B 5E1 (bob.jicklin@lakeheadu.ca); Paquet, Faculty of Environmental Design, University of Calgary, Alberta, Canada T2N 1N4 (ppaquet@sasktel.net). Jickling, a long-time Yukon resident, taught environmental ethics and environmental education at Yukon College for many years. He now divides his time between his home in Whitehorse, Yukon and Thunder Bay, Ontario where he recently accepted a faculty position at Lakehead University. His research interests include philosophy of education—particularly conceptual analyses of key concepts, environmental ethics, relationships between ethics and education, and relationships between ethics and epistemology. He is also the founding editor of the Canadian Journal of Environmental Education. Paquet is a conservation biologist specializing in large carnivores living in human dominated systems. He has written extensively about carnivore ecology and coexistence of humans and carnivores. Paquet has degrees in philosophy of science, wildlife biology, zoology, and behavioral ecology. Wolf stories, including the systematic and government-sponsored killing of Yukon wolves, provide a context for the examination of assumptions about Western epistemology, and particularly science, in light of the “ethics-based epistemology” presented by Jim Cheney and Anthony Weston, with implications for research, responsibility, and animal welfare. Working from a premise of universal consideration, and minding the ethical basis of knowledge claims, enables richer conceptions of environmental ethics and creates new possibilities for animal welfare and managing for wildlife.
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.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.089 | 0.020 |
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".