JUST AND UNJUST REALLOCATIONS OF HISTORICAL BURDENS: NOTES ON A NORMATIVE THEORY OF REPARATIONS POLITICS
Bibliographic record
Abstract
Prevailing connotations of reconciliation orbit concord or harmonious coexistence, meaning that concern for justice is necessarily subordinated to a more casually pragmatic peace. Bringing justice considerations to the fore means focusing on reparations as a key element of reconciliation’s suite of activities—but reparations are necessarily a matter of process, which precludes considering elements of the “package” in isolation from one another, as is the case with traditional evaluative criteria of motivation or proportion. Accordingly, this article proposes that reparations are better framed as a considered reaction to the unjust allocation of burdens, so that subsequent reallocations serve justice by answering the needs and demands of survivors. Taking cues from a variety of sources both within and beyond the transitional justice literature, the work at hand attempts just such a retrospective reframing by looking at a recently completed Canadian reparations process: the Indian Residential Schools Settlement Agreement (IRSSA).
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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 | 0.016 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.015 | 0.120 |
| Scholarly communication | 0.017 | 0.014 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.007 | 0.010 |
| 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".