Desempeños lingüístico, cognitivo y auditivo de un grupo de escolares con trastorno específico del lenguaje
Bibliographic record
Abstract
Specific language impairment (SLI) is defined as a significant limitation in linguistic abilities that cannot be explained by brain damage, cognitive or motor disabilities. In our context, school children with SLI have not been fully investigated. The aim of this study is to obtain information about linguistic, cognitive and auditory aspects in 25 children with SLI attending year 1 of primary school and in 23 control children without SLI. The evaluation procedures included the Test para evaluar la Gramatica Espanola de A. Toronto, the Evaluacion del Discurso Narrativo (EDNA), the Raven's coloured progressive matrices and an audiometric screening. The results indicate that most of the children with SLI show deficits in the linguistic aspects assessed, specially in narrative speech. On the other hand, a few number of children with SLI presented with difficulties in non-verbal cognitive abilities and/or with hearing deficits.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".