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Record W1909616715 · doi:10.1111/lang.12131

Focus on Italian Verbal Morphology in Multilingual Classes

2015· article· en· W1909616715 on OpenAlexaff
Anna Whittle, Roy Lyster

Bibliographic record

VenueLanguage Learning · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsMcGill University
Fundersnot available
KeywordsPluralPsychologyMathematics educationFocus groupFocus (optics)LinguisticsDevelopmental psychology

Abstract

fetched live from OpenAlex

This quasi‐experimental study investigated the effects of form‐focused instruction on Italian verbal morphology (first‐ and second‐person singular forms and third‐person plural forms of the present indicative) in a multilingual primary school in Italy. The 10‐hour instructional treatment was distributed over fifteen 40‐minute biweekly lessons in three intact Grade 2 classes comprising native and nonnative speakers of Italian. The instruction was designed to increase the saliency and frequency of the target forms while providing opportunities for oral production practice and corrective feedback. To measure the effects of instruction, 14 Chinese L1 students from the three classes comprised the experimental group, while a similar group of nine Chinese L1 students attending Grade 2 classes at the same school during the following year served as the comparison group. Both groups participated in oral elicitation tasks that served as pre‐ and posttests. A one‐way analysis of variance showed a strong treatment effect for the form‐focused instruction and qualitative analysis of the production data revealed developmental strategies specific to the experimental group.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.043
GPT teacher head0.292
Teacher spread0.249 · 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

Citations7
Published2015
Admission routes1
Has abstractyes

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