An exploration into political ecology and nonhuman agency: The case of the wild horse in western Canada
Bibliographic record
Abstract
Abstract Free‐ranging wild/feral horse populations are found worldwide in a variety of habitats. The animals have varied ecological impacts and socio‐cultural significance which are reflected in profoundly different management approaches. Using qualitative methods, this article investigates divergent perceptions of wild horses in western Canada employing two different frameworks: that of political ecological constructivism and that of nonhuman agency in a more‐than‐human geography. Government authorities mostly view the wild horse as an alien introduced species which competes with native wildlife and negatively impacts native ecosystems as well as interferes with resource industries. In this article, I suggest that the prevalent government view may be interpreted as an example of environmental orthodoxies. This view will be contrasted with an interpretation of wild horses as reintroduced wildlife, based on the findings of molecular biology using mitochondrial DNA analysis, and adopting a paleoecological perspective. However, this view, too, can be challenged as to its objectivity. Finally, this article will show that an engagement with wild horses as nonhuman agents, particularly through the lens of nonhuman charisma, is crucial for understanding the dynamics of change in government approaches to wild horse management as well as a culturally differentiated relationship with these animals .
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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; both teacher heads agree on what is shown here.
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".