The Enabling and Constraining Effects of Social Ties in the Process of Institutional Entrepreneurship
Bibliographic record
Abstract
While the past decade has produced a number of insights into the process of institutional change, scholars still lack a comprehensive understanding of the germinal stages of institutional entrepreneurship. More specifically, further knowledge is needed into what factors cause certain individuals to initiate norm-breaking behaviour while others continue to adhere to societal expectations. Prior work seeking to inform this question has focused either on individual-level or environmental-level explanations. Comparatively, we employ a social network perspective as a ‘meso-level’ lens into the space where actors and their environment intersect. Based upon our qualitative findings, we propose that social ties can serve as an important factor in enabling (heterophilic ties) as well as constraining (homophilic ties) institutional change. However, our data also suggest that these network forces are highly dynamic and contingent upon tie frequency, the sequencing of tie contact, and the prevailing social norms in which tie contact takes place.
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How this classification was reachedexpand
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".