Comparing the effect of skewed and balanced input on English as a foreign language learners’ comprehension of the double-object dative construction
Why this work is in the frame
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Bibliographic record
Abstract
ABSTRACT According to usage-based approaches to acquisition, the detection of a construction may be facilitated when input contains numerous exemplars with a shared lexical item, which is referred to as skewed input. First language studies have shown that skewed input is more beneficial for the acquisition of novel constructions than balanced input, in which a small set of lexical verbs occurs an equal number of times. However, a second language (L2) study of datives found no advantage for skewed input compared to balanced input. The present study compared the effectiveness of skewed and balanced input at facilitating the comprehension of the double-object dative construction in L2 English. Over a 2-week period, Thai English as foreign language learners ( N = 78) completed comprehension tests and a treatment activity that provided either skewed first, skewed random, or balanced input. The results indicated that balanced input was most effective at promoting comprehension of double-object datives. The implications are discussed in terms of the benefits of different types of input for L2 learners.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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