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Record W4400516285 · doi:10.22452/jml.vol34no1.2

Young Speakers of a Heritage Language: Hakka Speakers in Vienna

2024· article· en· W4400516285 on OpenAlexaboutno aff
Ralf Vollmann

Bibliographic record

VenueJournal of Modern Languages · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsHeritage languageLinguisticsGermanContext (archaeology)Language familySociologyHistoryGender studiesGeographyGenealogy

Abstract

fetched live from OpenAlex

Increased global migratory mobility lead to ‘superdiverse’ societies especially in urban agglomerations, with many family languages. Overseas Chinese, frequently in a secon­dary migration, reached European countries and established their own close-knit communities. A smaller portion of the Hakka community from Calcutta settled in Vienna (Austria) showing an interesting layering of identities as Chinese, Hakkas, Indians, Austrians -- with family ties to Toronto and other places. While the first generation of migrants is typically restrained by the linguistic barrier of the literate national language which is practically inaccessible to adult newcomers, their offspring is firmly embedded in the new culture, and therefore presents a last generation of speakers of the heritage language. In a series of qualitative interviews, young Hakka speakers from the (Austrian) Indian Hakka community were queried about their linguistic and identitarian situation, as well as their linguistic competence in Hakka, in the context of our global research on overseas Hakka usage. The young speakers effortlessly shifted from Hakka to German at kindergarten age, keeping Hakka as means of communication inside the family; some had to act as family translators when growing older. The Hakka language is held in high esteem but is being used and perceived strictly as a family language. Contrary to the older generation, there are no strong ties to other Hakka speakers, let alone a wider Hakka community. Hakka identity and family origin relate back to India and often globally spread-out families with whom English is the best means of communication. A Chinese ancestry is a fact without much influence on the lives. The linguistic competence in Hakka is restricted to their own dialect and familial matters, as is typical of ‘weak speakers’ of a declining minority language. The language shift to German, higher education, and their emancipation from the ‘ethnic’ profession of running Chinese restaurants are indications of the full integration of the next generation into the local culture.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.028
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0060.003
Scholarly communication0.0040.003
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.032
GPT teacher head0.445
Teacher spread0.414 · 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 source (direct Gemma or distilled Codex), 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
Published2024
Admission routes1
Has abstractyes

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