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Record W4392847563 · doi:10.1075/lab.23001.sha

Protracted development in the heritage lexicon

2024· article· en· W4392847563 on OpenAlex
Mengyao Shang, Lucy Zhao, Virginia Yip, Ziyin Mai

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLinguistic Approaches to Bilingualism · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicLexicography and Language Studies
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsLexiconComputer sciencePsychologyArtificial intelligence

Abstract

fetched live from OpenAlex

Abstract Research on heritage language acquisition at the school age has shown protracted development and early stabilisation in morphosyntax and the lexicon. Our study examined the properties of resultative verb compound (RVC), a structure at the crossroads of the lexicon and morphosyntax, in second-generation child heritage speakers in the UK who had continuous input in Mandarin Chinese since birth. We analysed three subclasses of RVCs produced by the heritage children ( n = 27, age 4–14) and their parents ( n = 18) in an oral narration task and compared them with those by children in Beijing ( n = 48, age 4–9) from existing databases. Our results show that the heritage children produced RVCs quite frequently and felicitously yet highly repetitively and conservatively, with a remarkably large proportion of their RVCs consisting of a strongly lexicalised subclass with direct lexical equivalents in English. Correlational analyses show that the heritage children’s RVCs improve with age, rather than provision of RVC in the parental input, indicating the role of cumulative input in RVC acquisition. Overall, the development of RVC in heritage Mandarin is delayed rather than stabilised or attrited, supporting the lexical account for grammatical vulnerabilities in proficient heritage speakers.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.949
Threshold uncertainty score0.586

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.188
GPT teacher head0.273
Teacher spread0.085 · 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