Replication Data for: Dimensions of Transnational Feminism: Autonomous Organizing, Multilateralism and Agenda-Setting in Global Civil Society
Bibliographic record
Abstract
The importance and impact of feminist mobilization across borders is well documented, but the impact of autonomy as an aspect of such organizing has not been explored in the transnational context. We argue that to understand the impact of transnational feminist mobilization, at least two distinct types of feminist mobilization require further conceptual development and empirical exploration in the transnational context, namely, autonomous as contrasted with multilateral mobilization. We offer a conceptual framework for distinguishing and studying these two forms. Further, using a mixed-methods study design, we empirically distinguish domestic and transnational dimensions of feminist activism and illuminate the impact of both multilateral feminist organizing and autonomous feminist organizing in the transnational space. Our analysis reveals that domestic and transnational organizing are distinct but related phenomena. We also find that in online organizing spaces, autonomous feminist campaigns amplify the messaging of geographically dispersed grassroots and individual activists more than multilateral ones. It further suggests that autonomous movements may offer more potential for representing marginalized groups of women, though this potential may not always be realized. The paper offers new concepts and empirical insights for the study of transnational feminism, thereby enabling a new research agenda. Further, this research contributes to the study of the ways that Transnational Social Movements can enrich global civil society and deepen global democracy.
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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 | 0.003 | 0.024 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.166 | 0.096 |
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".