Bibliographic record
Abstract
Abstract In “The Tragedy of the Commons,” Garrett Hardin implicitly moved from bounded commons — a pasture or a tribe’s territory — to the case of boundless commons — the ocean, the atmosphere and planet Earth. He insisted on the need for imposing limits on the use of these resources, blurring the difference between communal property and open access regimes. The success of his paper is due in great measure to his neglect of economic, scientific, legal and anthropological literature. His main lifelong focus was on limiting population growth. He could have avoided the conceptual confusion he created by turning to well-known political economists such as John Locke and Adam Smith or, for that matter, jurists, such as Blackstone. Instead, he simply envisioned indigenous lands as an unbounded wilderness placed at the disposal of frontiersmen. Though he eventually acknowledged the existence of managed commons, he had little interest in community rules pertaining to resource exploitation. For him, these were simply moral norms which inevitably became ineffective after a community reached a certain level of population. He also took economists to task for failing to include in their analysis the true environmental and social costs of public decisions. Still, the famous example of the indigenous people of Northeastern Quebec illustrates a shortcoming of his analysis: community members did not act in total isolation from each other. On the contrary, communal norms could prevent an overexploitation of resources or allow for the adoption of corrective measures.
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.
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 | 0.001 |
| Science and technology studies | 0.005 | 0.013 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".