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Record W2164709675 · doi:10.1017/s0267190501000101

Metalinguistic aspects of bilingual processing

2001· article· en· W2164709675 on OpenAlexaff
Ellen Bialystok

Bibliographic record

VenueAnnual Review of Applied Linguistics · 2001
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsYork University
Fundersnot available
KeywordsMetalinguistic awarenessMetalinguisticsPsychologyTask (project management)Control (management)LinguisticsCognitionCognitive psychologyNeuroscience of multilingualismComputer scienceArtificial intelligenceTeaching methodMathematics education

Abstract

fetched live from OpenAlex

This chapter examines differences in metalinguistic development between monolingual and bilingual children in terms of three subcategories: word awareness, syntactic awareness, and phonological awareness. In each case, some studies have reported advantages for bilingual children, but equally, other studies have found either no difference between the groups, or, in some cases, monolingual advantages. In the discussion of each of these areas, the kinds of tasks for which bilingual and monolingual children perform differently are identified. In none of these three subcategories of metalinguistic awareness do bilingual children exhibit a uniform and consistent advantage over monolinguals. An alternate conception of metalinguistic ability is proposed in which two cognitive processes, analysis and control, are directly responsible for task performance. These processes are involved in all metalinguistic tasks but to different degrees. Re-examining the results in this way reveals that bilingual advantages occur reliably on tasks that make high demands on control but are not evident in tasks that make high demands on analysis. The implications of this pattern for metalinguistic ability are considered.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.020
GPT teacher head0.346
Teacher spread0.326 · 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 designTheoretical or conceptual
Domainnot available
GenreReview

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

Citations246
Published2001
Admission routes1
Has abstractyes

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