Identity Realization and Organizational Forms: Differentiation and Consolidation of Identities Among Arizona's Charter Schools
Bibliographic record
Abstract
Organizations in an emerging organizational population face an identity problem. Collectively, organizations cannot yet rely on a coherent and stable definition of what membership in that new industry means. Individually, each organization must also establish its own distinctive identity to differentiate itself from competitors and secure resources. To explore the relationship between differentiation and the consolidation of recognizable identity element clusters, we examine the emergence of organizational form in the early years of the Arizona charter school industry. This industry is particularly interesting for scholars studying institutional processes because the legislative mandate of the new industry was for schools to experiment and provide education in an unconventional manner. Thus, the legislative definition of the organizational form or template for the charter school identity was intentionally underspecified. Using inductive analysis and regression models, we examine the process of identity realization occurring among charter schools and assess how the local institutional context of charter schools affected the realization process. The analyses demonstrate that new industries may come to be characterized by multiple element clusters; a single label for an organizational form may be linked to different combinations of identity elements. Our results also demonstrate that identity realization at the organizational level occurs through mimicry and differentiation processes and is facilitated by the local institutional context. In particular, the diversity of organizational resources available to industry entrepreneurs enables identity differentiation from one's peers.
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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 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".