Affective learning in adults with intellectual disability: an experiment using evaluative conditioning
Bibliographic record
Abstract
BACKGROUND: Evaluative conditioning is a form of affective learning in which initially neutral stimuli acquire an affective value through association with negative or positive stimuli. Recent research shows an important role for cognitive resources in this type of learning. This form of affective learning has rarely been studied in intellectual disability (ID). METHOD: We examined evaluative conditioning in 16 adults with mild to moderate ID compared to age- and gender-matched control participants. Neutral shapes and symbols were repeatedly paired with positive, neutral or negative unconditioned stimuli (faces or International Affective Picture System images). There was also an extinction phase. RESULTS: There was significant acquisition of conditioning in both groups. Stimuli paired with positive images were evaluated more positively, and stimuli paired with negative images were evaluated more negatively. Post-extinction ratings however show that these novel affective associations were not maintained by individuals with ID as much as by individuals in the control group. CONCLUSIONS: We conclude that ID modulates some aspects of affective learning but not necessarily initial preference acquisition.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".