Loss Frequency Versus Long-Term Outcome in Preschoolers' Decision Making on a Child Variant of the Iowa Gambling Task
Bibliographic record
Abstract
The current study explored the effect of loss frequency and long-term expected outcome on decision making in 86 preschoolers. Children were randomly assigned to 2 versions of a child-friendly Iowa Gambling Task. In the high-conflict condition, the deck with the highest long-term outcome also had the highest frequency of loss, whereas the deck with the lowest long-term outcome had the lowest frequency of loss, setting up a conflict between preference for lower frequency of loss and preference for a higher long-term outcome. In the low-conflict condition, the highest long-term outcome deck had the lowest frequency of loss and the lowest long-term outcome deck had the highest frequency of loss. Results suggested age and sex differences in decision making. Specifically, the results suggested that preschoolers are able to make advantageous decisions when choices do not conflict in terms of loss frequency and long-term outcome. Finally, the results suggest that girls tend to focus more on loss frequency than boys when making choices. The findings have implications for assessment of decision making and hot executive functions in young children.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".