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 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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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; 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".