Socially Responsible Investment Law: Regulating the Unseen Polluters
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
Environmental harm is commonly associated with companies that extract, consume, and pollute our shared natural resources. Rarely are the 'unseen polluters,' the financiers that sponsor and profit from eco-damaging corporations, placed at the forefront of the environmental debate.\nBy focusing on these unseen polluters, Benjamin Richardson provides a comprehensive examination of socially responsible investment (SRI), and offers a guide to possible reform. Richardson proposes that greater regulatory supervision of SRI will help ensure that the financial sector prioritizes ethically-based investments. In Socially Responsible Investment Law, he suggests that new governmental reforms should encourage companies to participate in socially responsible investments by providing a better mix of standards and incentives for SRI through measures that include redefining the fiduciary responsibilities of institutional investors to incorporate environmental concerns. By doing so, Richardson posits that corporate financiers, including banks, hedge funds, and pension plans, will become more accountable to the goals of ensuring sustainable development.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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 it