Marginalized Voices and the Good Friday Agreement: Inclusion and the Northern Ireland Peace Process
Bibliographic record
Abstract
Abstract This article explores building transnational queer and disabilities communities, disability-queer peace, and disability-queer activism in post-peace accord Northern Ireland (NI). Through in-person and virtual interviews with activists, staff, and leaders who are disabled, queer, and/or in allyship, it became clear in the data that respondents were ashamed, frustrated, and sad that ableism and queerphobia continues in NI. Attacks on disabled and LGBTQIA+ people have escalated as a result of the Brexit fallout and the COVID-19 pandemic that negatively impacted marginalized communities that are targeted by legal exclusion, discriminatory, and hateful practices as well as structural and interpersonal violence. Dialogue, diversity, and inclusive practices and policies and a political system that benefits all NI citizens are crucial to building sustainable peace in NI.
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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 | 0.020 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.037 | 0.053 |
| Scholarly communication | 0.024 | 0.010 |
| Open science | 0.002 | 0.035 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.013 | 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".