Children's planning performance in the Zoo Map task (BADS-C): Is it driven by general cognitive ability, executive functioning, or prospection?
Bibliographic record
Abstract
A minimal amount of research has examined the cognitive predictors of children's performance in naturalistic, errand-type planning tasks such as the Zoo Map task of the Behavioral Assessment of the Dysexecutive Syndrome for Children (BADS-C). Thus, the current study examined prospection (i.e., the ability to remember to carry out a future intention), executive functioning, and intelligence markers as predictors of performance in this widely used naturalistic planning task in 56 children aged 7- to 12-years-old. Measures of planning, prospection, inhibition, crystallized intelligence, and fluid intelligence were collected in an individual differences study. Regression analyses showed that prospection (rather than traditional measures of intelligence or inhibition) predicted planning, suggesting that naturalistic planning tasks such as the Zoo Map task may rely on future-oriented cognitive processes rather than executive problem solving or general knowledge.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".