From the margins to the mainstream: Entrepreneurial theorization and the spread of a new collective identity within a mature organizational field
Bibliographic record
Abstract
We study the effects of entrepreneurial theorization on the spread of a new collective identity within a mature organizational field. Mature fields are characterized by dominant logics, entrenched practices, and stable patterns of interaction, resulting in isomorphism and inertia. Yet, mature fields do change, often as a result of entrepreneurial activity. Whereas prior work has focused on the creation of "oppositional" niches within mature fields, we focus on an identity movement that transformed the core of a field. We do this within the context of the Canadian wine field, a field that remained stable from the end of Prohibition through the 1970s. For decades, large incumbents projected a European identity for their wines and gave these wines "faux" European names. In contrast, pioneering entrepreneurs projected a distinctly Canadian identity for their wines, an identity that was ultimately adopted by incumbents. In this way, domestic wine in Canada became tied to place rather than divorced from it. We show how entrepreneurial theorization of the "Canadian wine" identity by small producers and identity pioneers led to the spread of this identity to center of the field, and how the effects of theorization depended on the authenticity of these theorizers. We also suggest that an identity movement that engages incumbents rather than seeks to create an oppositional category is more likely to reach the center of a mature field.
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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 | 0.008 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.038 |
| Scholarly communication | 0.013 | 0.010 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| 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".