Education level moderates learning on two versions of the Iowa Gambling Task
Bibliographic record
Abstract
The Iowa Gambling Task (IGT) is the major plank of behavioral support for the Somatic Marker Hypothesis--a prominent theory of emotionally-based decision making. Despite its widespread use, some have questioned the ecological and discriminative validity of the IGT because a substantial proportion of neurologically-normal adults display a response pattern indistinguishable from those with ventromedial prefrontal cortical brain lesions. In a large sample of healthy adults, we examined the statistical influence of several demographic variables on two versions of the IGT, with the specific prediction that educational attainment would moderate learning across trials. Results confirmed a highly significant effect of education. On the commonly used original version of the IGT, performance tended to improve more rapidly, and reach a higher eventual positive score, as the level of education increased. Age and gender were nonsignificant effects in the model, and Caucasians had slightly better IGT performance than their non-Caucasian counterparts. Conclusions are that education level, among neurologically-normal adults, should be treated as a stratification or matching variable in case-control research using this task.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".