Right to Place: A Political Theory of Animal Rights in Harmony with Environmental and Ecological Principles
Bibliographic record
Abstract
The focus of this paper is on the “right to place” as a political theory of wild animal rights. Out of the debate between terrestrial cosmopolitans inspired by Kant and Arendt and rooted cosmopolitan animal right theorists, the right to place emerges from the fold of rooted cosmopolitanism in tandem with environmental and ecological principles. Contrary to terrestrial cosmopolitans—who favour extending citizenship rights to wild animals and advocate at the same time large-scale humanitarian interventions and unrestricted geographical mobility—I argue that the well-being of wild animals is best served by the right to place theory on account of its sovereignty model. The right to place theory advocates human non-interference in wildlife communities, opposing even humanitarian interventions, which carry the risk of unintended consequences. The right to place theory, with its emphasis on territorial sovereignty, bases its opposition to unrestricted geographical mobility on two considerations: (a) the non-generalist nature of many species and (b) the potential for abuse via human encroachment. In a broader context, the advantage of the right to place theory lies in its implicit environmental demands: human population control and sustainable lifestyles.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.035 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".