Corporate governance and sustainability : challenges for theory and practice
Bibliographic record
Abstract
Part A: Introduction: Governance and Sustainability Challenges 1. New Forms of Governance: Changing Relationships between Corporates, Government and Community 2. Understanding Corporate Sustainability: Recognizing the Impact of Different Governance Systems Part B: Limitations of Existing Models of Corporate Governance 3. Why Corporate Governance Rankings do not Predict Future Value: Evidence from Toronto Stock Exchange Listings 2002-2005 4. Synthesizing Governance Themes from Political and Management Theory 5. Towards a Definition of Governance for Sustainability: Networks, Shared Values and New Knowledge 6. Financing Environmental Sustainability: A New Role for the Law Part C: Redesigning Governance for Sustainability 7. Sustainability in Paradigms and Practices at Board-Level in Anglo American Plc 8. Codes of Conducts as a Tool for Sustainable Governance in MNCs 9. The Case of Governance for Sustainability at IAG 10. The Civil Regulation of Corporations: Towards Stakeholder Democracy 11. The Materiality of Sustainability: Corporate Social and Environmental Responsibility as Instruments of Strategic Change?
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 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 | 0.005 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".