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Record W4387705551 · doi:10.1111/meta.12660

Comparing language and religion in normative arguments about linguistic justice

2023· article· en· W4387705551 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMetaphilosophy · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Philosophy and Ethics
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsLegitimacyNormativeEconomic JusticeSociologyScrutinyEpistemologyLinguisticsLiberalismPolitical scienceLawPhilosophyPolitics

Abstract

fetched live from OpenAlex

Abstract Many of the most influential theorists of linguistic justice make arguments on the basis of comparisons between language and religion. They claim either that (1) language, by contrast with religion, cannot be separated from the state or that (2) unequal official linguistic recognition, just like unequal official religious recognition, is morally problematic. This article argues that careful attention to debates about liberalism and the place of religion in public life invites us to question the two above‐mentioned liberal assumptions about religion underlying many arguments concerning linguistic justice based on (dis)analogies between language and religion. The hope is that such critical scrutiny is likely to shed some light on normative questions of linguistic justice, more precisely on questions about the legitimacy of granting more recognition to certain languages, usually those of national native groups (as opposed to groups resulting from more or less recent immigration).

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.

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)0.001
metaresearch head score (Gemma)0.002
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.459
Threshold uncertainty score0.453

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.078
GPT teacher head0.368
Teacher spread0.290 · 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