Sustainable Policymaking: Balancing Profitability & Sustainable Development in Businesses
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Despite multiple decades' worth of credible data confirming the extent of sustainability problems, our society has subsequently shown very limited progress with finding viable solutions on such critical subjects. Indeed, there is growing evidence of a general misunderstanding regarding the challenges related to the climate change issue. More specifically, we point to evidence outlining sustainable development (SD) and climate change as complex meta-problems. This explains why current global environmental policies are inefficient in addressing the causes of SD and climate change and why they fail to induce sustainable practices in consumers and organizations. In this paper, we argue that the primary obstacles businesses face in adopting proper sustainable practices are found in their neoclassical business worldview and in the increased competition levels resulting from internationalization and market deregulation. To counter these obstacles, we suggest solutions that have the potential to bring true SD. First, we believe the use of specific economic tools such as sovereign funds, green investments and ethical financial indexes, can have significant effects on neoclassical businesses in stewarding them towards sustainable practices. Finally, we call for increased interdisciplinary interactions between the scientific community, policymakers and business leaders in order to better manage meta-problems related to climate change.
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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 | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it