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
Corporate social responsibility is a subject of growing importance in business and law. Today, no analysis of corporate governance systems would be complete without considering the pressures on companies to be seen as responsible corporate citizens. This chapter provides a descriptive overview of developments in the field, including increasing voluntary and required environmental, social, and governance (ESG) disclosure; and proliferating voluntary and multilateral standards for responsible corporate behavior. It reviews some of the more significant empirical evidence on the financial results of companies’ implementation of corporate responsibility initiatives, including the effects of such initiatives on innovation, trust, and social welfare. It concludes with an analysis relating these developments to arguments about the objectives of the corporation and the shareholder/stakeholder debate—with particular reference to the argument between Cornell Distinguished Professor of Corporate and Business Law, Lynn A. Stout, and Chief Justice of the Delaware Supreme Court, Leo E. Strine, Jr.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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