Intersectionality and the Strategic Use of Identity in Social Movements
Bibliographic record
Abstract
Chapter 1 lays out the theoretical framework that guides the rest of the book. The chapter makes the case that social movement scholars have not yet fully integrated the insights of intersectional theory on social movements’ strategic identity work. The first part of the chapter reviews the literature on collective identity, collective action framing, and identity strategies to generate a synthetic picture of the factors that influence identity strategizing: political and discursive opportunities, opposition and oppositional discourses, and intramovement and organizational dynamics. Through applying an intersectional lens to these factors, the chapter explains the conditions under which organizations choose to strategize multiple identity categories at once. The chapter continues with an intersectional approach to illuminate the political effects of identity strategies. An intersectional approach focuses on the embodied dimension of identity deployment. This section develops the idea that when activists embody identity strategies in public, they challenge the concept of the universal subject of rights by giving rights a specific form. This conceptualization of identity strategies clarifies the influence that they allow organizations to have on politics even without directly engaging the formal political system.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.025 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".