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Enregistrement W3081442633

LANGUAGE AND IDENTITY IN DIASPORA COMMUNITIES: THE CASE OF BRISTALIANS

2018· article· en· W3081442633 sur OpenAlexaboutno aff
Anna Gallo

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineComputer Science
ThématiqueLinguistic Studies and Language Acquisition
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésDiasporaMulticulturalismEthnic groupIdentity (music)HomelandWhite (mutation)SociologyMedia studiesEthnologyGender studiesHistoryGeographyAnthropologyPolitical sciencePoliticsLawArt
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Mass mobility is a powerful sociolinguistic force, as it leads to culture and language contact. In the period after WWII, Italians migrated to several foreign countries in search of decent life standards and job opportunities. In the UK migrant communities flourished in London, but the Italian diaspora also affected cities such as Bedford and Peterborough (Guzzo & Gallo, 2014). However, very little is known about the Italian diaspora in the South-West of England, although Bristol has so far hosted thousands of Italians (Bottignolo, 1985). Furthermore, maintenance and shift of languages and cultures have proved to be productive fields of research over the last fifty years. Yet, considerable research has involved primarily Black and Asian minorities, while rarely have White migrants’ multilingual practices been labelled as “ethnic” (Evans Wagner, 2014, p.79). On the whole, while anthropological, sociological and sociolinguistic research has investigated the Italians in the US, Canada and Australia quite consistently, British Italians’ language behaviours are still under-researched. A few sociolinguistic studies have so far investigated the Italian communities in a well-defined area in England, i.e. Bedford and Peterborough (e.g. Guzzo, 2007, 2014; Guzzo & Gallo, 2014), recently including Loughborough, too (Guzzo & Gallo, forthcoming). Moving away from the Midlands, I looked at the Italian migration towards the South West of England, specifically focusing on the multicultural city of Bristol. One of my goals was also to see whether there is any difference in terms of language behaviours and identity compared to other Anglo-Italian communities. Overall, the aim of my research was essentially twofold and it tried to bridge two gaps in previous literature. While trying to further explore the current linguistic and cultural landscape of urban Italian migration to the UK, this research also aimed to investigate an underexplored socio-geographical area, i.e. Bristol, where few research studies have been carried out recently. Therefore, this work (a) shed light on Bristol Italians’ (Bristalians) language, culture and heritage, while (b) also contributing to filling a gap in the current sociolinguistic research in the South West and, particularly, in Bristol. In particular, this project intended to investigate whether and how Bristalians adopt language devices, whether they be more local or related to their multicultural background, as social symbols of identity, to strategically index their multi-layered identities. In particular, this thesis explored multilingual practices amongst Bristalians from a cross-generational perspective, in terms of discourse and phonology. It thus investigated Bristalians’ heritage languages and their multilingual repertoire in interaction on a broad spectrum, by considering phonological features on the one hand, as well as dealing with code-mixing and discourse on the other hand. I divided my thesis into two macro-sections, and each of them was concerned with specific aspects of language variation and identity construction. While the first section was focused on Bristalians’ trilingualism (in other words English, standard Italian and their family dialect) from a discourse perspective, with a focus on code-mixing, discourse functions and identity, the second part dealt with phonology and it was concerned with two main phonological variables, specifically the (ing) and the (th) variables. These variables seemed particularly interesting to investigate: firstly, because they are well-known variables in English varieties, and secondly, due to their possible association with migrant backgrounds. I relied upon a composite methodology to perform a thorough analysis of Bristalians’ linguistic and cultural context: specifically, I decided to take an interdisciplinary approach to the study of the diaspora, by blending sociolinguistics, discourse strategies, code-mixing and ethnography. In addition to these methods, I further relied upon statistical analyses, using Rbrul. Indeed, I strongly believed in the great potential resulting from combining several research tools. Overall, 31 participants were recorded during 23 recording sessions. Alongside interview data, my corpus, which I called Br.I.C. (Bristol Italians Corpus) also includes data from questionnaires, filled by participants immediately after the recording session. Participants’ age ranged between 12 and 75. In order to categorise my informants, linguistic factors as well as top-down social factors were considered, such as gender, age and generation. However, generation was not considered sufficient to obtain a full picture of Bristalians, in terms of their relation to migration and to their multicultural experience. Being inspired by Hoffmann and Walker’s (2010) Ethnic Orientation, I elaborated an identity-based factor, called “Italianness Index”, which could be more fruitful in identifying Bristalians’ according to their heritage background and identity. Italianness Index and self-assessed Bristolianness were also considered as identity-based factors in the present investigation. On the whole, trilingualism is still present amongst Bristalians, although it is decreasing in younger generations. A few Bristalians also demonstrated having deeply acquired their heritage languages. Some informants further displayed strong language awareness, particularly of dialect variation. In regard to code-mixing, younger speakers and, broadly speaking, those with a low Italianness Index preferred superficial types of mixing, namely single-noun lexical switches. However, even these small lexical choices, such as single-noun switches, may contribute to the maintenance of an Italian identity amongst Bristalians, due to the high social and cultural impact and meaning that they carry. For instance, this was the case of words associated with the field of family relationships, such as nonna (‘grandmother’), but more interestingly, also of words that recalled the experience of being Italian, such as campagna (‘countryside’). More well-rooted code-mixing revealed that Bristalians still use Italian and dialect varieties to express social meanings and functions in discourse. Phonological variation in their speech also shed some light on possible correlation between social and linguistic variables and consonant clusters, leading the way to new paths to be further explored. While all the non-standard variants under investigation were linguistically constrained, Italianness proved to be relevant on the [ɪŋk] variant only. In particular, speakers with high Italianness tended to statistically favour [ɪŋk]. In contrast, [ɪŋg] seemed to be socially influenced by generation and Bristolianness. In addition, (th) variants exclusively correlated positively with fixed categories, specifically gender had an impact on [f] and generation was statistically relevant for [t].

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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,236
Score d'incertitude au seuil0,994

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
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 Opus0,014
Tête enseignante GPT0,296
Écart entre enseignants0,282 · 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'étudeQualitatif
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
Publié2018
Routes d'admission1
Résumé présentoui

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