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Record W4211152832 · doi:10.1075/impact.41

Linguistic Purism

2016· book· en· W4211152832 on OpenAlexaboutno aff
Olivia Walsh

Bibliographic record

VenueImpact · 2016
Typebook
Languageen
FieldSocial Sciences
TopicLinguistic and Sociocultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIdeologyLinguisticsElement (criminal law)PoliticsField (mathematics)LegislationLanguage policySociologyLanguage planningPolitical scienceLawPhilosophy

Abstract

fetched live from OpenAlex

This book represents the first in-depth, comparative investigation of linguistic purism in modern French. It investigates the relative prevalence of purist ideology in France and Quebec. Both experience influence from English and have similar language legislation, but they differ in their social, political and economic history. Three different levels of society are examined (official, group and individual), allowing a comparison of the ‘voice from above’ and the ‘voice from below’. This is a key element in recent discussions of language planning but is rarely provided in studies of French. The study is also the first to apply to empirical data Thomas’s widely cited theoretical framework for describing linguistic purism (1991), and has evaluated and refined this, enhancing the theoretical underpinnings of the field. The book will be of interest not only to French scholars and sociolinguists, but also to scholars of language planning, language policy and language ideologies in all 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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.020
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.009
Scholarly communication0.0060.003
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.033
GPT teacher head0.364
Teacher spread0.332 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations56
Published2016
Admission routes1
Has abstractyes

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