Institutional Imprints: The Enduring Effects of Past Political Regimes on CSR in China (WITHDRAWN)
Bibliographic record
Abstract
This study explores how Chinese organizations are conceptualizing and responding to recent corporate social responsibility initiatives. While an established body of research has been devoted to unpacking the economic factors that motivate CSR activities, comparatively few studies have examined how legacies of past institutional arrangements may influence the ways that firms respond to CSR pressures. This oversight is surprising given that it is widely acknowledged that “socially responsible behavior may mean different things in different places to different people and at different times” (Campbell, 2007: 950). Employing a mixed-method research design that relies heavily on historical research, I attempt to shed some light on the relationship between past political imprints and contemporary variations in the ways that organizations are conceptualizing and responding to CSR pressures. The study contributes to theories of imprinting by drawing attention to how contextual conditions within which imprints are initially infused into structures and practices influences subsequent organizational decisions and actions.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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".