Building the iron cage: institutional creation work in the context of competing proto-institutions
Bibliographic record
Abstract
A unique contribution of institutional theory is the insight that organizations need legitimacy as well as technical efficiency to survive and thrive in their environments (DiMaggio & Powell, 1983; Meyer & Rowan, 1977). The institutionalized norms, practices, and logics which structure organizational fields exert isomorphic pressures, forming an “iron cage” which constrains organizational actions. Organizations are seen as legitimate when they conform to field structures and operate within the iron cage (DiMaggio & Powell, 1983). Much work in institutional theory has focused on the diffusion of institutional structures and the forces which support institutional isomorphism. Yet not all institutional environments are highly institutionalized, and not all actors are equally constrained by institutional arrangements. A great deal of work in the last two decades has shown that institutional entrepreneurs may arise to question institutional arrangements (DiMaggio, 1988), resisting them strategically (Oliver, 1991; Ang & Cummings, 1997), disrupting and deinstitutionalizing them (Ahmadjian & Robinson, 2001; Oliver, 1992), and reconstructing them to suit the desires of different actors (Anand & Peterson, 2000; Hargadon & Douglas, 2001; Zilber, 2002). Much of the prior work on institutional entrepreneurship has tended to focus retrospectively on the path of a single institutional innovation as it gained support in an emerging or existing field, often displacing an existing set of institutional arrangements (e.g. Greenwood, Suddaby & Hinings, 2002; Maguire, Hardy & Lawrence, 2004; Munir, 2005). Throughout this work, competing or independently evolving innovations which may also have been candidates for institutionalization are generally not discussed.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.006 | 0.044 |
| Scholarly communication | 0.020 | 0.020 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.026 | 0.003 |
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".