Beyond green and orange: alliance for choice – Derry’s mobilisation for the decriminalisation of abortion
Bibliographic record
Abstract
On 8 October 2014, the Northern Ireland Department of Justice (DoJ) set up a public consultation on amending the law on abortion in cases of fatal foetal abnormality and sexual crimes. Several organisations mobilised to respond to the consultation, but pro-choice activists in Alliance for Choice-Derry (AfC-Derry) preferred to invest their time in popular education tactics aimed at the greater public. Why did these activists refuse to lobby politicians, as they have done in the past, and instead mobilise for awareness-raising actions? In this article, I argue that the gender-blindness of the post-conflict consociational settlement in Northern Ireland restricted activists’ opportunity to lobby governments both at Stormont and Westminster. Activists thus shifted their approach to mobilisation: from lobbying to educational tactics; from extending UK’s 1967 Abortion Act to decriminalisation; and from targeting politicians to targeting culture. This analysis of pro-choice activism under the gender-blind, consociational political system in Northern Ireland will shed light on theoretical questions of gendered political structure constraints on feminist actions as well as the development of cultural tactics by a “critical community” during a period of abeyance.
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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 | 0.012 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.030 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.008 | 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".