The Political Perspective of Corporate Social Responsibility: A Critical Research Agenda
Bibliographic record
Abstract
ABSTRACT: I here advance a critical research agenda for the political perspective of corporate social responsibility (Political CSR). I argue that whilst the ‘Political’ CSR literature is notable for both its conceptual novelty and practical importance, its development has been hamstrung by four ambiguities, conflations and/or oversights. More positively, I argue that ‘Political’ CSR should be conceived as one potentialformof globalization, and not as aconsequenceof ‘globalization’; that contemporary Western MNCs should be presumed to engage in CSR for instrumental reasons; that ‘Political’ CSR should be associated with a corresponding ‘political’ model of corporate governance; and that both a ‘Rawlsian’ and ‘Habermasian’ perspective of Political CSR are different from ‘Political’ CSR. In concluding, I use these four critiques to identify a number of areas within which increasingly robust and sophisticated positive and normative theories of Political CSR are required.
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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 | 0.028 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.009 | 0.078 |
| Scholarly communication | 0.022 | 0.023 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.010 | 0.015 |
| Insufficient payload (model declined to judge) | 0.007 | 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".