Animal agency: wildlife management from a kincentric perspective
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
Abstract Co‐management of wildlife and landscapes often requires managers to work with Indigenous and conventional Western worldviews. Many cultures recognize animals as non‐human persons with decision‐making agency. Such perspectives, termed “kincentric ecology,” suggest a relational approach to management that differs from convention in North America. We argue that kincentric perspectives are highly relevant to current approaches and issues in wildlife management, including the incorporation of Indigenous Knowledge. Using empirical research with the Xeni Gwet'in First Nation in British Columbia, Canada, we discuss four dimensions of kincentricity key to collaborative management, with notable parallels in emergent systems science: (1) shift in emphasis from human rights to responsibilities; (2) focus on social–ecological systems; (3) acknowledgment of uncertainty and rapid change; and (4) emphasis on locally relevant, empirical knowledge. Wildlife and land management influenced by bioculturally diverse knowledge implies a more systemic approach; adaptive processes; changed goals and values; and shifting responsibilities among stakeholders.
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.023 | 0.008 |
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