‘Vote the Assholes Out’: How Value Congruence Work Aligns Stakeholders for Corporate Activism
Bibliographic record
Abstract
Abstract Recent research has pointed to value congruence between a firm and its stakeholders as a key driver of corporate socio‐political activism. However, this ‘stakeholder alignment’ model of corporate activism does not adequately explain how firms foster value congruence with their stakeholders. Drawing from an inductive study of Patagonia, Inc., we develop a social‐symbolic work perspective of stakeholder alignment for corporate activism by introducing the concept of ‘value congruence work’. Our findings demonstrate how attractional value congruence work aims to draw in stakeholders with similar values to engage with the firm, and co‐evolutionary value congruence work facilitates different forms of learning to sustain alignment between a firm and its stakeholders. Our findings offer new insights for research on corporate socio‐political activism and values work in organizations.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".