Bibliographic record
Abstract
Researchers interested in corporate social responsibility (CSR) have struggled on two accounts: First, it has been an uphill battle to convince casual observers that CSR is something more than an exercise in public relations, and second, it has proven difficult to frame CSR in a way that renders it theoretically visible to scholars of international affairs and global governance. Hevina S. Dashwood's new book takes on both of these challenges through a case study of corporate social responsibility adoption and promotion in the global mining industry. On the first point, Dashwood's analysis shows that the evolution of CSR in the mining industry had profound and substantive effects on how mining executives and the companies they run view their responsibilities to society, particularly regarding the social and environmental externalities of extractive activities. On the second point, she links CSR to the literature on how global norms emerge and influence international actors—including multinational mining companies. In this respect, The Rise of Corporate Social Responsibility is a study about the promotion and influence of norms, but in broader terms, the book argues for elevating the study of corporate actors within the field of global governance.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".