Bibliographic record
Abstract
This review article discusses the conception of collective rights necessary to ground contemporary entrenchments of minority educational rights, Indigenous rights and collective bargaining rights, as discussed in Miodrag Jovanović’s book, Collective Rights: A Legal Theory. Jovanović argues for a role for value collectivism in elucidating a rationale for the entrenchment of rights held by what he conceives of as pre-legally existing groups with interests not reducible to those of their individual members. This approach can offer an explanation for the entrenchment of minority educational rights and Indigenous rights. The article extols Jovanović’s attempt to grapple with an explanation for rights not explained within standard liberal theory, even in Will Kymlicka’s attempt to justify minority rights within liberalism. The review also critiques the argument offered by Jovanović. First, the review argues that a full-fledged adoption of value collectivism is not necessary to provide a justification for irreducibly collective rights and that the unnecessary adoption of such a theoretical construct may, in practical terms, work counter to the ongoing entrenchment of the rights it seeks to justify, thus becoming what it will categorize as a ‘self-threatening theory’. Second, the review argues that Jovanović’s stark division of rights held by pre-legally existing groups and legally constituted collective entities undermines his account’s ability to explain collective bargaining rights of trade unions that are entrenched in some jurisdictions.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.021 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| 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".