Anarchy, Scarcity, Nature: Rousseau’s Stag Hunt and the Arctic Walrus Hunt Compared
Bibliographic record
Abstract
Under conditions of anarchy, the predominant assumption is that scarcity leads to conflict. I contrast traditional Inuit walrus hunt practices to Rousseau’s stag hunt to demonstrate how mainstream international relations has it wrong on three counts: (1) radical scarcity need not lead to conflict-prone outcomes, (2) the historical eighteenth-century context of the stag hunt does not prove a predisposition against cooperation, and (3) the conditions of anarchy are irreducible to cultural institutions or to material constraints alone. I leverage Latour’s “symmetrical anthropology” to demonstrate that ideas and things have an equal potential to structure the culture of anarchical relations and to build on the literature which has established that comparative cultural data can be used to theorize anarchy. Rethinking the logic of anarchy is especially important in the age of the Anthropocene, given the prospects for radical ecological change in the near future.
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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 | 0.004 | 0.018 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".