Bibliographic record
Abstract
On Irreconciliation focuses on the less examined but frequent ethnographic instances when survivors refuse to forgive in response to persistent impunity of past injustices, particularly, in the face of absence-presence of the rule of law and staged processes of justice which serve the powerful.- An ethnographically-informed, interdisciplinary theorisation which makes irreconciliation visible in the contexts of Northern Ireland, Papua New Guinea, Mozambique, Bangladesh, Canada, Argentina, Sri Lanka, Colombia, USA and UK- Triangulates a discussion of the rule of law within processes of unresolved genocidal injustices, debates relating to statues of slave owners, racial prejudice and institutional responses - Contributors demonstrate the relationship of irreconciliation with law, aesthetics, temporality, resistance and the limits of the concept- Makes a theoretical and ethnographic case for irreconciliation as both a social and political phenomenon- Proposes an understanding of the past based on a positive commitment to ‘irreconciliation’ which might interest anthropologists, historians, philosophers, critical legal and political theorists, peace, conflict resolution and transitional justice scholars
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.032 |
| Scholarly communication | 0.006 | 0.011 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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".