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Enregistrement W7112189997

“Freakin swimming and everythink”: Variable (ING) in youth Aboriginal English

2024· article· en· W7112189997 sur OpenAlexaboutno aff

Notice bibliographique

RevueUWA Profiles and Research Repository (UWA) · 2024
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueLinguistic Variation and Morphology
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésVariety (cybernetics)Variation (astronomy)MainstreamVernacularScholarshipNorth American EnglishVoice-onset timeBritish EnglishRealisation
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Freakin swimming and everythink: Variable (ING) in youth Aboriginal English<br/><br/>Fraiese, Lucía; Collard, Glenys; Rodríguez Louro, Celeste; Walker, James; Gardner, Matt Hunt<br/><br/>Variable (ING) in English has been recognised for its long-term stability. While most scholarship has focused on mainstream (Cole, 2020; Forrest &amp; Wolfram, 2019; Hazen, 2008; Horvath, 1985) and racialized Englishes (e.g., Kendall &amp; Thomas, 2019; Van Hofwegen &amp; Wolfram, 2010), less in known about its use in Indigenised Englishes (but see Ball &amp; Bernhardt, 2008; Mulder, 1982; Sterzuk, 2003). (ING) variation has been argued to be a vernacular universal (Chambers, 2004), yet how it patterns in Indigenised Englishes is less well understood. In this paper, we consider Australian Aboriginal English (AE), a post-invasion contact-based variety of English spoken by 80% of First Nations people in Australia (Author). While frequent use of the alveolar variant has been reported by Malcolm (2018), quantitative sociolinguistic studies of variable (ING) as used in AE are yet to be offered.<br/><br/>We draw on two original synchronic corpora of naturalistic talk-in-interaction spoken AE data collected in Nyungar boodja, southwest Western Australia (Author). In line with the literature (e.g., Horvath, 1985; Kendall &amp; Thomas, 2019; Travis, Grama &amp; Purser, 2023; Author), all tokens of variable (ING) (shown in examples 1-3) were extracted and coded impressionistically for their phonetic realisation (alveolar, velar, stopped voiced and stopped voiceless), and for grammatical category, phonological context, and syllable count. The social constraints included speaker year of birth, gender, and proximity of hometown to a major city. A preliminary sample of 13 AE speakers born between 2001 and 2010 (6 women and 7 men) reveals significant interspeaker variation, but the rates of use of the alveolar variant are overall higher than those found in other varieties of English in Australia (as reported in, e.g., Travis et al., 2023; Author). Gender is a significant social predictor, with males leading in the use of the alveolar variant, and females showing an overall higher rate of stopping. Place of residence and grammatical category also interact with phonetic realisation, suggesting that those who reside in major cities have higher rates of the alveolar variant overall, and show a distinction between verbal and non-verbal forms. Those who hail from remote areas, however, do not display such a distinction, and show higher rates of velar realisations, which are still significantly lower than those found in other mainstream varieties of English (Author). These results confirm observations by Malcolm (2018) of the presence of the alveolar variant in AE. The presence of stopping among females, although also attested elsewhere (Gordon, 1998), makes an interesting case for further exploration.<br/><br/>Examples<br/><br/>1. I got real annoyed when you mob sayin that. (Alessa, woman, b. 2010)<br/>2. And then we was just um, like, I don’t know, freakin swimming and everythink. (Frankie, woman, b. 2007)<br/>3. This fellow was like coming close to us. (RWC, man, b. 2001)<br/><br/>References<br/><br/>Ball, Jessica &amp; Bernhardt, B. May (2008). First Nations English dialects in Canada: Implications for speech-language pathology: Indigenous and Colonial Languages: Implications for Speech-Language Pathology Research and Practice. Clinical linguistics &amp; phonetics 22(8): 570-588.<br/>Chambers, Jack K. (2004). Dynamic typology and vernacular universals. In Kortmann, B. (Ed.), Dialectology meets typology dialect grammar from a cross-linguistic perspective. Berlin: Mouton de Gruyter.<br/>Cole, Amanda (2020). Co-variation, style and social meaning: The implicational relationship between (h) and (ing) in Debden, Essex. Language variation and change 32(3): 349-371.<br/>Forrest, Jon &amp; Wolfram, Walt (2019). The Status Of (ING) in African American Language: A Quantitative Analysis of Social Factors and Internal Constraints. American speech 94(1): 72-90.<br/>Gordon, Elizabeth (1998). Anythink or Nothink: A Lazy Variant or an Ancient Treasure? New Zealand English journal 12(12): 25-33.<br/>Hazen, Kirk (2008). (ING): A vernacular baseline for English in Appalachia. American speech 83(2): 116-140.<br/>Horvath, Barbara M. (1985). Variation in Australian English: the sociolects of Sydney. Cambridge [Cambridgeshire]: Cambridge University Press.<br/>Kendall, Tyler S. &amp; Thomas, Erik R. (2019). Variable (ING). In Thomas, E. R. (Ed.), Mexican American English: Substrate Influence and the Birth of an Ethnolect. Cambridge: Cambridge University Press. 171-197.<br/>Malcolm, Ian (2018). Australian Aboriginal English: Change and continuity in an adopted language. Boston: De Gruyter.<br/>Mulder, Jane (1982). The Tsimshian English dialect: the result of language interference. In Bartelt, G. H., Penfield-Jasper, S. &amp; Hoffer, B. (Eds.), Essays in Native American English. San Antonio, TX: Trinity University Press. 95–112.<br/>Sterzuk, Andrea (2003). A study of Indigenous English speakers in the Standard English classroom. ProQuest Dissertations Publishing.<br/>Travis, Catherine E., Grama, James &amp; Purser, Benjamin (2023). Stability and change in (ing): Ethnic and grammatical variation over time in Australian English. English world-wide 44(3): 435-469.<br/>Van Hofwegen, Janneke &amp; Wolfram, Walt (2010). Coming of age in African American English: A longitudinal study. Journal of sociolinguistics 14(4): 427-455.<br/><br/><br/>

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,884
Score d'incertitude au seuil0,997

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,035
Tête enseignante GPT0,370
Écart entre enseignants0,335 · 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 tête enseignante, 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
GenreEmpirique

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
Publié2024
Routes d'admission1
Résumé présentoui

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