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Interactions Between Type of Instruction and Type of Language Feature: A Meta‐Analysis

2010· article· en· 735 citations· W1725627099 on OpenAlex· 10.1111/j.1467-9922.2010.00562.x

Why is this work in the frame?

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

Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.

Full frame distilled prediction

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.

Candidate categories
Insufficient payload (model declined to judge)
Consensus categories
none
Domain
Candidate signal: noneConsensus signal: none
Study design
Candidate signal: QualitativeConsensus signal: Qualitative
Genre
Candidate signal: EmpiricalConsensus signal: Empirical
Teacher disagreement score
0.320
Threshold uncertainty score
0.999
Validation status
machine_predicted_unvalidated · codex-gemma-dda1882f352a

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

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.

Opus teacher head0.046
GPT teacher head0.318
Teacher spread
0.272 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

A meta‐analysis was conducted to investigate the effects of explicit and implicit instruction on the acquisition of simple and complex grammatical features in English. The target features in the 41 studies contributing to the meta‐analysis were categorized as simple or complex based on the number of criteria applied to arrive at the correct target form ( Hulstijn & de Graaff, 1994 ). The instructional treatments were classified as explicit or implicit following Norris and Ortega (2000) . The results indicate larger effect sizes for explicit over implicit instruction for simple and complex features. The findings also suggest that explicit instruction positively contributes to learners’ controlled knowledge and spontaneous use of complex and simple forms.

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.

The record

Venue
Language Learning
Topic
EFL/ESL Teaching and Learning
Field
Arts and Humanities
Canadian institutions
University of Toronto
Funders
not available
Keywords
PsychologySimple (philosophy)Meta-analysisVan de Graaff generatorType (biology)Second-language acquisitionCognitive psychologyFeature (linguistics)LinguisticsNatural language processingMathematics educationComputer science
Has abstract in OpenAlex
yes