Punishment, blame and stigma after conflict: The experience of politically motivated former prisoners in Northern Ireland
Bibliographic record
Abstract
This paper examines the relationship between the politics of blame in post-conflict Northern Ireland and the treatment of politically motivated former prisoners. Using the examples of direct and indirect discrimination in the areas of employment and access to mental health services, the paper considers how the discursive operation of blaming produces evasions and attributions of guilt. It argues that such blaming practices have very real material consequences for the allocation or withholding of goods and burdens in the community. The paper notes also that the "cause of victims" is often appropriated by the press and other political actors for their own purposes, frequently to block the provision of public goods to one particular group of ex-combatants: ex-politically motivated prisoners. It concludes by posing a series of questions about blaming, justice and the moral authority of the victim in a transitional justice context. The claim of the paper is simply to offer some starting points for understanding the relationship between processes of blame, stigma and social exclusion.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.025 | 0.018 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.004 | 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".