Would International Adjudication Enhance Contextual Theories of Justice? Reflections on the UN Human Rights Committee,<i>Lovelace, Ballantyne</i>and<i>Waldman</i>
Bibliographic record
Abstract
Abstract.This article seeks to advance thinking about contextual theories of justice as found in Carens'Culture, Citizenship, and Communityand Parekh'sRethinking Multiculturalismby considering the suggestion that such theories would be enhanced by the incorporation of an element of international adjudication. It explores possible advantages and disadvantages of this proposal both theoretically and by reflecting on Canadian experience with the UN Human Rights Committee (HRC) in itsLovelace,BallantyneandWaldmanviews. The article concludes that international adjudication would enhance contextual theories of justice if it incorporated key elements of the HRC's individual communication procedure, including the non-binding nature of its decisions. Résumé.Cet article tente de faire avancer la réflexion sur les théories contextuelles de la justice qu'on retrouve dansCulture, Citizenship, and Communityde Carens, ainsi que dansRethinking Multiculturalismde Parekh. L'article suggère que ces théories gagneraient à incorporer un élément d'arbitrage international. Il explore les avantages et désavantages possibles de cette proposition tant du point de vue théorique qu'en réfléchissant à l'expérience canadienne du Comité des droits de l'homme de l'ONU dans les causes Lovelace, Ballantyne et Waldman. L'article conclut que l'arbitrage international pourrait améliorer les théories contextuelles de la justice s'il incorporait les éléments clés de la procédure de communication individuelle du Comité des droits de l'homme de l'ONU, y compris le caractère non contraignant des décisions.
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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 | 0.026 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.021 | 0.063 |
| Scholarly communication | 0.016 | 0.010 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".