Linguistic Demands of the Oral Directions for Administering the WISC-IV and WISC-V
Bibliographic record
Abstract
As the diversity of the school-age population in Canada continues to increase, it is important for school psychologists to consider the potential influence of culture and language when assessing the cognitive abilities of students from culturally and linguistically diverse backgrounds. The purpose of this study is to examine the linguistic demand of the oral subtest directions for the Wechsler Intelligence Scale for Children, Fourth Edition (WISC-IV) and Fifth Edition (WISC-V). Text-based statistics were extracted from the WISC-IV and WISC-V subtests to generate three composite scores: verbosity, complexity, and total demand. Results suggest that the oral directions of the WISC-IV subtests Block Design, Letter–number Sequencing, Cancellation, and Comprehension demonstrate relatively high linguistic demand. The oral subtest directions of the WISC-V subtests Picture Span, Visual Puzzles, and Figure Weights demonstrate relatively high linguistic demand. These findings suggest that the linguistic demand of oral directions should be taken into consideration when selecting and interpreting some subtests from both of these cognitive batteries.
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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 | 0.009 | 0.046 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".