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Record W7061746317

Review of Normative Language Policy

2019· article· en· W7061746317 on OpenAlexaboutno aff

Bibliographic record

VenueArrow@dit (Dublin Institute of Technology) · 2019
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsNormativeFocus (optics)ScholarshipSociolinguisticsPoliticsPower (physics)Morality
DOInot available

Abstract

fetched live from OpenAlex

This book is a welcome addition to the literature on language policy. The authors are mainly concerned with providing an axiological account of normativity in language, using the province of Québec as a case study to explore the extent to which normativity can be morally justified in certain contexts. This focus represents a significant departure from the mainly descriptive and ontological accounts of implicit and explicit policy that are current in many strands of language-policy research. In fact, the focus of the book emerges from the authors’ view that contemporary language-policy scholarship maintains a strongly descriptive and empirical character, with the ‘ought’ of language in society (i.e. normativity) often not a central concern. Indeed, they argue that normativity in language is often associated with illegitimate power and coercion, and is thus regarded negatively, with authors criticising it but not offering insights into how things might be improved.\nAn interdisciplinary approach is adopted here, drawing mainly on literature from sociolinguistics and normative political philosophy, in order to argue for a more nuanced view of prescriptivism. The authors contend that normativity is not inherently wrong in and of itself. Ultimately, they argue for a research agenda that includes an examination of the ethics and morality of normative language policy.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.872
Threshold uncertainty score0.970

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0310.000

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 head0.007
GPT teacher head0.284
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.

Study designNot applicable
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

Citations0
Published2019
Admission routes1
Has abstractyes

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