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Record W2144714786 · doi:10.1177/1367006914534330

Narrative abilities in subgroups of English language learners and monolingual peers

2014· article· en· W2144714786 on OpenAlexaff
Kathleen Hipfner-Boucher, Trelani Milburn, Elaine Weitzman, Janice Greenberg, Janette Pelletier, Luigi Girolametto

Bibliographic record

VenueInternational Journal of Bilingualism · 2014
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsGrammaticalityNarrativeLinguisticsUtterancePsychologyGrammarSentenceMean length of utteranceLanguage developmentDevelopmental psychology

Abstract

fetched live from OpenAlex

Aims and objectives: The objective of this study was to examine the narrative ability of two subgroups of English Language Learners (ELLs) relative to a group of English monolingual (EL1) peers. Specifically, we investigated whether the three groups of children differed on measures of narrative macrostructure and microstructure. Methodology: Two groups of ELLs were identified on the basis of parent report of the language most often heard and spoken at home (ELL English language users, ELL minority language users). A group of monolingual English children served as a comparison group ( n = 25 per language group). The children averaged 56 months of age. All children completed a narrative retell task. Data and analysis: The retell task was scored in relation to macrostructure (narrative information) and microstructure (number of utterances, mean length of utterance, number of different words, grammaticality). ANCOVAs, partialling out age and memory, revealed distinct performance profiles for the two ELL groups. Findings: There were no group differences on the number of utterances or story grammar. However, the performance of the ELL minority language group was significantly different from that of the EL1 and the ELL English language group on all microstructure measures (number of different words, sentence length, and grammaticality). Overall, the performance of the ELL English language users was indistinguishable from the EL1 group. Originality: The study highlights the heterogeneity in an ELL kindergarten sample with respect to English narrative ability, based on the extent to which English was heard and spoken at home. Implications: The findings highlight the need to gather detailed linguistic information about the home language environments of ELL children when involving them in language- or literacy-related tasks. An important implication of this information is the potential to lead to more nuanced expectations or teaching methods for subgroups of ELL children.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.009
GPT teacher head0.309
Teacher spread0.299 · 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 designObservational
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

Citations73
Published2014
Admission routes1
Has abstractyes

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