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Record W2785765963 · doi:10.3138/utlj.2017-0021

Group rights, participatory goods, and language policy

2018· article· en· W2785765963 on OpenAlexvenueno aff
Piet Goemans

Bibliographic record

VenueUniversity of Toronto Law Journal · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Philosophy and Ethics
Canadian institutionsnot available
Fundersnot available
KeywordsArgument (complex analysis)Public goodLaw and economicsCitizen journalismLawSociologyEconomicsPolitical scienceMicroeconomics

Abstract

fetched live from OpenAlex

This article asks whether groups or individuals should hold rights to participatory goods. Participatory goods are a type of public goods that can only be enjoyed jointly, in participation with others. Denise Réaume, who coined the term, argues that individual interests in participatory goods cannot be of sufficient weight to ground rights to the core of participatory goods. James Morauta has interpreted Réaume’s argument as a constraint on the types of right-holders that can hold rights to participatory goods ­– a holding constraint. Morauta then criticizes the interpretation he made of Réaume. This article clarifies the disagreement between these two authors by analysing how participatory goods are produced and, more specifically, by introducing a distinction between threshold actions – that is, actions that are necessary to produce a participatory good – and surplus actions – that is, actions that are not, strictly speaking, necessary to produce a participatory good. I use this analysis to do four things. First, I show that Réaume is right when it comes to threshold actions but that Morauta is right in the case of surplus actions. Second, I offer a new argument for an adapted holding constraint – that says that groups as well as individuals should hold rights to participatory goods – based on an account of what it means to produce participatory goods. Third, I show that this argument withstands Morauta’s criticism. Finally, I spell out an account of group rights that is in line with my argument. The result is an argument for, and an account of, group rights that grants groups the legal standing to sue, which I think should be granted to speakers of minority languages living intermingled with speakers of majority languages.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.888
Threshold uncertainty score0.939

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.037
GPT teacher head0.314
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2018
Admission routes1
Has abstractyes

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