Patterns of Mobilization in Local Movement Organizations: Leadership and Strategy in Four National Organization for Women Chapters
Why this work is in the frame
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Bibliographic record
Abstract
This article focuses on the organizational strategies of four local chapters of the National Organization for Women (NOW) across three decades. The goal is to explain differences in chapters' abilities to remain active and to survive over time by examining their overall patterns of mobilization. The authors argue that the ability to maintain organizational stability and collective action is influenced by internal organizational characteristics and strategies, such as leadership, mobilizing tactics, and organizational structure, as well as by external factors. Two of the chapters, New York City and Chicago NOW, have remained relatively stable throughout their histories and continue to survive. The other two, in Cleveland, Ohio, and Bloomington, Indiana, experienced dramatic ups and downs during their histories and ultimately declined. The authors argue that leadership and organizational choices influence these patterns of chapter mobilization.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 it