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Enregistrement W1973172443 · doi:10.1353/lan.0.0076

Analysing sociolinguistic variation. By Sali A. Tagliamonte. (Key topics in sociolinguistics.) Cambridge: Cambridge University Press, 2006. Pp. xi, 284. ISBN 100521778182. $34.99.

2009· article· en· W1973172443 sur OpenAlexaboutno aff
Robert Bayley

Notice bibliographique

RevueLanguage · 2009
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueLinguistic Variation and Morphology
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSociolinguisticsVariation (astronomy)LinguisticsSociologyPhilosophy

Résumé

récupéré en direct d'OpenAlex

Reviewed by: Analysing sociolinguistic variation Robert Bayley Analysing sociolinguistic variation. By Sali A. Tagliamonte. (Key topics in sociolinguistics.) Cambridge: Cambridge University Press, 2006. Pp. xi, 284. ISBN 100521778182. $34.99. The quantitative analysis of linguistic variation has long been a central concern of sociolinguistics. For many years following the publication of Cedergren and Sankoff's (1974) seminal article on variable rules, however, knowledge of variation analysis was, as Guy observed, 'primarily . . . transmitted by word-of-mouth, an academic version of the preliterate tradition of oral history' (1988:124). Happily, that state of affairs no longer obtains as the field now has a number of guides to both the practical and the technical details of variation analysis. These include Young and Bayley's (1996) guide to the versions of the VARBRUL programs available in the mid 1990s, Bayley's (2002) overview of the principles of variation analysis, and Paolillo's (2002) detailed explanation of the statistical basis of VARBRUL. To this very partial listing, we can now add Sali Tagliamonte's highly accessible step-by-step guide to analyzing variation, from selecting participants and collecting the data through transcription and coding to performing the actual analysis and finally to interpreting the results. T illustrates these steps with variables selected from her own very extensive British and Canadian corpora. The volume, directed toward advanced undergraduate and graduate students, is divided into twelve chapters and also offers considerable online material. Ch. 1 provides an overview of the relationship between linguistics and sociolinguistics, and more specifically, between variationist sociolinguistics as practiced by William Labov and many others (among them, of course, T herself) and other areas of sociolinguistic inquiry such as the ethnography of communication and the sociology of language. T views the dual focus of variationist sociolinguistics on linguistic and social structure as the discipline's defining characteristic. The chapter includes brief discussions of key sociolinguistic concepts including the 'vernacular', the speech community, form/function asymmetry, linguistic variables, the quantitative method, the principle of accountability, circumscribing the variable context (or defining the envelope of variation, that is, what counts as an instance of the variable under investigation?), and hypothesis testing. Chs. 2 and 3 deal with data collection. Ch. 2 concentrates on sampling, with separate sections on the random sampling that characterized early sociolinguistic research (e.g. Labov 1966), social [End Page 900] networks, and the stratified random samples that are common in sociolinguistic research today. T provides examples of the success of the 'friend of a friend' method from her own fieldwork in the African Nova Scotian communities she studied with Shana Poplack (Poplack & Tagliamonte 1991). In Ch. 3, T goes to the heart of data collection—the sociolinguistic interview, a set of procedures designed to elicit the maximum amount of relatively informal speech. T emphasizes thorough preparation, including gaining familiarity with the concerns of the community under study. Managing the substantial amount of data that is necessary for even a relatively small-scale investigation of a speech community is one of the challenges that all researchers face. In Ch. 4, T deals with the practical issues of transcription and corpus construction. Deciding on the level of detail for initial transcription is among the more difficult questions covered in this chapter. T recommends transcribing in standard orthography with standard punctuation, unless the researcher has a compelling reason for doing otherwise. The selection of a linguistic variable is covered in Ch. 5. T provides a variety of examples of possible variables, using data from her York, England corpus as well as data from Ontario. The variables include the classic cases of alveolarization of -ing and coronal stop deletion as well as the quotative be like. In fact, she uses a single excerpt from the York corpus to illustrate the presence of sixteen variables at the phonological, morphosyntactic, and discourse/pragmatic levels, any one of which might provide a suitable topic for investigation. Ch. 6 deals with the most labor-intensive phase of any variationist study—constructing hypotheses and coding the data to test the hypotheses the researcher has developed. As in the previous chapters, T provides effective illustrations, using as examples variable -t,d deletion and variable -ly use. Chs. 7–10 provide...

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,007
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,106
Score d'incertitude au seuil0,000

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,007
Méta-épidémiologie (sens strict)0,0040,002
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0070,012
Études des sciences et des technologies0,0020,003
Communication savante0,0050,010
Science ouverte0,0020,004
Intégrité de la recherche0,0030,005
Charge utile insuffisante (le modèle a refusé de juger)0,1060,073

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,012
Tête enseignante GPT0,275
Écart entre enseignants0,263 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2009
Routes d'admission1
Résumé présentoui

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