Investigation of maze production in children with specific language impairment
Bibliographic record
Abstract
Linguistic dysfluencies known as mazes have been interpreted clinically as reflecting breakdown in language formulation. Nevertheless, the relatively limited available research has suggested that maze frequency increases with linguistic complexity and that mazes are produced more frequently by children with specific language impairment (SLI) than normal language (NL) peers. This study examined the hypothesis that greater maze production by children with SLI results from their processing limitations. Language samples of school-age children with SLI (n = 9) and NL (n = 11) were collected in contexts varying in task demands: conversation, narration and expository discourse. Both groups produced significantly more mazes in the more demanding contexts than in conversation. However, no significant group effect was noted for age-matched or MLU-matched groups. These results suggest that mazes should not be viewed primarily as an indication of processing limitations or a clinical marker for SLI, but more appropriately as a byproduct of linguistic complexity across groups.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".