Contrast and Congruence Effects in Affective Priming of Words and Melodies
Bibliographic record
Abstract
We examined possible congruence and contrast effects during affective priming of linguistic and musical stimuli. In Experiment 1, when two words were presented auditorily, participants judged the affective content of the second item (happy or sad) faster when the affects matched (congruency), as expected. In Experiment 2, however, a contrast effect was observed with melodies, with slower responses in the matched conditions. In Experiment 3, two words, two melodies, or one of each were presented. A congruency effect was observed when the target was a musical stimulus (regardless of the prime type) but a contrast effect was observed when the target was a linguistic stimulus (again, regardless of the prime type). The results show that affective properties can influence the priming in both music and language. However, such priming is sensitive to the type of task, and strategic/expectancy effects play a large role when stimulus types are mixed.
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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 | 0.011 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".