Corporate Responsibility and Sustainable Development
Bibliographic record
Abstract
This book explores the overlapping interests of corporate responsibility and sustainable development, specifically focusing on the dynamics of social change, sustainability governance and evaluation, and creating social value. Corporate Responsibility and Sustainable Development: An Integrative Perspective draws on ideas and research relevant to both concepts, highlighting the interdependent nature of corporate strategy and policymaker ambition. The authors seek to capture that any evaluation of responsibility for sustainable development demands multiple lenses. They propose an integrative understanding to tackling global challenges around sustainable development and focus on four themes: contextualisation; perspectives on social change; sustainability governance and evaluation; and creating social value. Overall, the book takes an evaluative approach, using these themes as lenses for engaging with global challenges, which encourages reflection and informed action. Written by two highly experienced authors, this book integrates short case studies and chapter questions throughout the text, in order to reinforce learning and help readers reconcile ideas presented with real world issues. It will be an essential resource for tutors and advanced undergraduate and postgraduate students of business, governance and corporate governance, corporate social responsibility (CSR), sustainability and sustainable development, stakeholder theory, business ethics, and politics.
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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".