Gender and the Politics of Justice in the Northern Ireland Peace Process: Considering Róisín McAliskey
Bibliographic record
Abstract
This essay explores reactions to the 1996–1997 incarceration of Róisín McAliskey, a young Irish republican, pregnant at the time of her arrest. The case revealed tensions and contradictions in the politics of gender, national identity, and reconciliation at a tentative stage in the Northern Ireland peace process. Special attention is given to the negotiation of the case by the politically diverse Northern Ireland Women's Coalition and other activists who worked to forge broad-based support campaigns. Along with reactions to them, these efforts were diagnostic of the challenges of developing new politics during this transitional period. These included prospects for new gender-based alliances as well as the potential and the limitations of human rights and political recognition to contribute to projects of reconciliation. For some activist women, the McAliskey case was unsettling to their own sense of political identity, a disruption that may be understood as symptomatic of the intersubjective quality of recognition. It suggests that, although demands for recognition are often most salient in ethnic or nationalist “conflict zones,” the dilemmas attached to extending recognition may be especially acute in just such contexts, where both political subjectivity and physical safety have often hinged on avoiding ambiguity. Similarly, human rights are frequently presented as vehicles for peacemaking. When the state's legitimacy is the focus of conflict, however, demands for human rights often appear as attacks on the state and, by implication, those who identify with it.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.030 | 0.028 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.005 | 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".