Legitimating Nascent Collective Identities: Coordinating Cultural Entrepreneurship
Why this work is in the frame
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Bibliographic record
Abstract
The concept of collective identity has gained prominence within organizational theory as researchers have studied how it consequentially shapes organizational behavior. However, much less attention has been paid to the question of how nascent collective identities become legitimated. Although it is conventionally argued that membership expansion leads to collective identity legitimacy, we draw on the notion of cultural entrepreneurship to argue that the relationship is more complex and is culturally mediated by the stories told by group members. We propose a theoretical framework about the conditions under which the collective identity of a nascent entrepreneurial group is more likely to be legitimated. Specifically, we posit that legitimacy is more likely to be achieved when members articulate a clear defining collective identity story that identifies the group's orienting purpose and core practices. Although membership expansion can undermine legitimation by introducing discrepant actors and practices to a collective identity, this potential downside is mitigated by growth stories, which help to coordinate expansion. Finally, we theorize how processes associated with collective identity membership expansion might affect the evolution of defining collective identity stories.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it