Language Development Following Brain Injury In Early Childhood: A Longitudinal Case Study
Bibliographic record
Abstract
The present longitudinal case study was designed to investigate the possibility that a traumatic brain injury (TBI) occurring during the second year of life, while significant lexical and grammatical competencies are emerging, could have an impact on subsequent language development. Thus, the language development of a very young girl (BL) who suffered a TBI at the age of 17 months was monitored for 6 months following the injury. Different procedures were used to measure her lexical and grammatical development: monthly parental checklists, free-play sessions and word-learning tasks. BL's results were compared with two control groups (n = 5 and 9) matched for age and gender. Overall, the results are consistent with the classical view of acquired language disorders in children: despite an initial decrease in the use of her premorbid vocabulary, BL showed no durable significant impairment on any measure of lexical or grammatical development.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 teacher head, 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".