Social Movement Induced Organizational Change and the Nature Of Insider/Outsider Activism
Bibliographic record
Abstract
Over the last two decades, scholarship on social movement induced organizational and institutional change has increased dramatically. This literature has richly outlined the nature of effects that social movements have on organizations and institutions, including new insights into how the nature of movements can evolve to be not only against organizations but also within organizations. Similarly, the nature of activists that fomented a movement can evolve from being outside organizations to include activism inside organizations as well. While these insights have contributed greatly to our broad understanding of social movement induced change, we have only just begun to scratch the surface of how movements affect organizations and institutions from both the outside and the inside. This symposium delves into this black box, bringing together new research on social movement induced change with implications for better understanding social movement effectiveness and for identifying future paths of research. Agenda-setting in Contested Issue Fields: A Topic Model Approach Of The US Tobacco Industry Presenter: Ana M. Aranda; Catolica Lisbon School of Business and Economics Presenter: Helen Etchanchu; Montpellier Business School Presenter: Jonne Guyt; Amsterdam Business School, U. of Amsterdam State Agency Discretion As A Political Opportunity Structure in Hydroelectric Facility Founding Presenter: Jake B. Grandy; CSU, Long Beach Presenter: Shon R. Hiatt; U. of Southern California Take a Stand or Keep Your Seat: Shifts in Board Ideology in Response to Social Activist Challenges Presenter: Mary-Hunter McDonnell; The Wharton School, U. of Pennsylvania Presenter: Joel Adam Cobb; U. of Pennsylvania Not Just Small Potatoes: The Local Foods Movement and Possibilities for Progressive Corporate Chan Presenter: Leanne Mara Hedberg; U. of Alberta School of Management Presenter: Michael Lounsbury; U. of Alberta
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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 | 0.009 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.005 | 0.024 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".