Institutional Imprints: The Enduring Effects of Past Political Regimes on CSR in China (WITHDRAWN)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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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 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".