How Established Organizations Combine Logics to Reconfigure Resources and Adapt to Marketization: A Case Study of Brazilian Religious Schools
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Marketization-the entry of the market logic into a field originally insulated from it-is a transformative force that has reshaped many fields, including education, health care, the arts, and religion. Marketization brings a unique set of challenges for established organizations: it opens a field to market-style mechanisms of consumer choice and competition, which undermines the legitimacy of established organizations, and it creates contradictory demands for organizational actions. How can established organizations adapt to marketization? To answer this question, the authors study the adaptation of five established religious schools to the marketization of education in Brazil. They develop the novel hybridization strategy of nested coupling and explain that established organizations respond to marketization by balancing competing demands for differentiation and conformity. The authors show how religious schools nest the market logic within the religious logic by reconfiguring their resources to conform to market demands while differentiating themselves through their religious orientation. Nested coupling provides a novel strategic approach for established organizations in marketized or marketizing fields, such as hospitals, museums, and schools, to capitalize on a logic that preexists marketization and to create a unique competitive positioning in the market.
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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 | 0.012 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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 it