Institutional Policies for a Healthy Anthropocene Society
Bibliographic record
Abstract
The Anthropocene epoch refers to the geological epoch, now underway, that is defined by monumental, human-caused geophysical changes in planetary ecosystems. Human society is also changing, marked by an equally profound shift in attitudes, beliefs, and practices. In this article, we apply research on social change in institutions—that is, in the enduring belief systems, ideas, and practices that guide organizations and society— to propose policies that could prepare Anthropocene society to change in ways that would ensure healthier ecosystems. These policies would alter the institutions driving corporate governance, patterns of consumption, the role of science in business and society, and the time horizons used by governments and organizations to plan, and they would help society adapt to unpredictable changes in the climate and in ecosystems. Ultimately, the policies would shift long-standing institutional structures, or logics, that support market capitalism and the belief in technology's ability to solve all problems to help create a more enlightened culture and more stable ecosystems on a rapidly changing planet.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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; a candidate call from one teacher head, 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".