Translanguaging business: Unpredictability and precarity in superdiverse inner city Leeds (WP4)
Notice bibliographique
Résumé
The Leeds business case study focuses on Klara, a Czech-speaking community interpreter and her work with advocates providing interpreting services on an hourly-paid basis for a number of organizations. Klara’s business is her interpreting work with advocates who are primarily concerned with assisting Czech and Slovak Roma migrants in Leeds with the problems they face with life in a new country, principally the complex business of claiming benefits. Our work with Klara allows an insight into the lives of these new migrants, living in precarious conditions, on the borderline between low pay employment and benefit claiming. We examine in detail the role of the different languages in these migrants’ interpreter-mediated interactions. We examine translanguaging in four different areas: English/Czech/Slovak interlingual translanguaging, intralingual translanguaging in English, intralingual translanguaging in Czech and Slovak, and interdiscursive translanguaging. Our study extends into Klara’s home life, where we see that Klara works hard to ensure that her children have access to the Czech language. We also examine her electronically-mediated communication, much of which exemplifies the blurring of boundaries between work and social interaction in online communication. The study took place in the Leeds suburb of Harehills. In the process of collecting data with Klara, we gained an insight into the lives of new migrants, living in precarious conditions, on the borderline between low pay employment and benefit claiming. We examine in detail the role of the different languages in these migrants’ interpreter-mediated interactions, using the notion of translanguaging. Klara’s work as a community interpreter means that language is crucially her business. Our study also extends into Klara’s home life, and we see that Klara also makes language her business there, working to ensure that her children have regular and consistent access to the Czech language. This report comprises eight sections overall. Following this introduction we provide background on the Roma in Leeds, the population who Klara has most contact with in her professional life. In Section 3 we discuss the foundational literature relevant to our study: superdiversity and neoliberalism; the employment and also exploitation characteristic in early stage migration; how linguistic ethnography can afford rich insights that it does into the events and practices we observe; a focus on the interpreting event from a literacy studies perspective; the site of interpreting as a contact zone; translanguaging at work and at home; and the use of social media in superdiverse multilingual environments. Section 4 on methodology details our overall approach, gives an overview of data collection, and describes the individual data sets, and how our analysis enables them to work in combination. The two central analysis sections (5 and 6) cover respectively interaction at work and translanguaging in the home, and we include a short section (7) on mediated discourse which straddles the work/life boundary.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,008 | 0,006 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,001 | 0,007 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».