The Coevolution of Industries, Social Movements, and Institutions: Wind Power in the United States
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
This study of the U.S. wind energy industry extends theory on the process of industry emergence by developing and testing a coevolutionary model of the relationship between social movement organizations (SMOs), institutions, and industries. Building on research that suggests that SMOs can influence institutions and the path of emerging industries, we show that the growth of an industry can also influence the diversity of social movements by motivating the participation of specialist SMOs. These new SMOs in turn deploy distinct knowledge, capabilities, goals, and strategies to produce institutional changes that are necessary for the continued growth of the industry. Our study offers a more complete conceptualization of the influence of social movements on industry emergence and growth, and it extends understanding of how SMO diversity is produced.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.005 |
| Science and technology studies | 0.002 | 0.002 |
| 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 it