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Record W2120789852 · doi:10.1017/s0047404507070820

<scp>Nils Langer and Winifred Davies</scp> (eds.), <i>Linguistic purism in the Germanic languages</i>

2007· article· en· W2120789852 on OpenAlexaff
John Edwards

Bibliographic record

VenueLanguage in Society · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics, Language Diversity, and Identity
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsLinguisticsGermanic languagesDialectologyVernacularsortSociologyForeign languageHistoryPhilosophyComputer scienceGerman

Abstract

fetched live from OpenAlex

Nils Langer and Winifred Davies (eds.), Linguistic purism in the Germanic languages . Berlin: Walter de Gruyter, 2005. Pp. viii, 374. Hb $137.00 Prescriptivist attitudes toward language have always been with us, and complaints about decline and decay, about foreign infiltration, about the inadequacy of certain dialects – these matters are as perennial as misgivings about the younger generation. Within the scholarly community, there is a long tradition of studying language attitudes, supplemented recently by a revived interest in “folk linguistics” and “perceptual dialectology.” This sort of attention has generally coincided with arguments against prescriptivist intervention, on the grounds that it is neither appropriate nor feasible to attempt to direct vernacular usage. (Hohenhaus, however, in his chapter on computer communication patterns, points out that a refusal to intervene is, itself, a sort of “reverse purism.”) Historically, of course, matters were rather different in intellectual and policy circles and, indeed, prescriptivist intervention remains common: Decisions have to be made when national languages “emerge” and when some print standardization is found necessary; debates about identity choice and maintenance are often argued in linguistic arenas; language-planning exercises involve some degree of control; and contemporary debate about what (if anything) ought to be done on behalf of “endangered” varieties also implies a prescriptivist attitude. As Kristine Horner points out in her chapter on Luxembourg, labels can often confuse in such broad areas of activity: What is seen as purism when directed toward “foreign” elements may be tagged as standardization when the focus is inward. In a broad sense, then, there is a great deal of information in the literature about prescriptivist attitudes and activities; when the editors suggest that “only one monograph” (by George Thomas) has so far attempted to theorize about purism, they are being a little too restrictive.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.175
Threshold uncertainty score0.931

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.014
GPT teacher head0.248
Teacher spread0.235 · 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 designQualitative
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
Published2007
Admission routes1
Has abstractyes

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