Building political agency and movement leadership: the grassroots organizing model of Asian Immigrant Women Advocates
Bibliographic record
Abstract
Drawing upon a qualitative case study of Asian Immigrant Women Advocates (AIWA), which organizes Chinese immigrant women working in low-paid, precarious jobs, this study examines how one worker center contends with multiple dimensions of precarity to build political agency and movement leadership. By encouraging participation in collective trainings, promoting involvement in collective action campaigns, and creating organizational leadership roles, AIWA has developed a grassroots organizing model that transforms Asian immigrant women workers’ everyday lives from a pervasive state of social isolation and political withdrawal to an uplifted state of self-activity and collective change-making. Key outcomes generated by AIWA’s grassroots organizing model include enhanced self-confidence, expanded social networks, practical organizing skills, and expert-level knowledge. By showing how grassroots organizing strategies create alternative pathways for social and political engagement, this study challenges the dominance of professionally led worker centers that seek to dismantle but often perpetuate the exclusionary dynamics of liberal citizenship regimes.
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.018 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".