Collective Identity Development Amid Institutional Chaos: Boundary Evolution in a Women’s Rights Movement in Post Gaddafi Libya
Bibliographic record
Abstract
Collective identity is important for the cohesion of social movements, yet there is an inherent tension between group unity and heterogeneity when multiple groups are motivated to come together to work for change. Through a three-year investigation of the early stages of a women’s rights movement following the Libyan revolution, we explore the dynamics of collective identity development. Our findings capture how two heterogeneous groups, Libyan locals and Libyan diaspora, interact to negotiate and re-negotiate the boundaries of collective identity. We find that this process unfolds through an ongoing struggle where the point of difference between the groups—their uncommon past—is the mechanism first used to ensure inclusion of insiders, and then to exclude outsiders from the collective identity. Our paper contributes to our understanding of the relational process through which collective identity co-evolves, and the challenges faced by heterogeneous groups engaging in collective action.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".