Bibliographic record
Abstract
The musical mood induction procedure was used to induce 3 negative moods: sadness, fatigue and anxiety. Induction was validated using subjective and physiological measures. One hundred twenty-seven participants listened to one of 18 film soundtrack excerpts for 20 minutes. Physiological response (heart rate, respiration, skin conductance level (SCL), and facial electromyography) was recorded throughout the induction and postinduction phases. Subjective mood ratings (sadness, anxiety, tiredness, valence, arousal) were provided before induction and throughout the postinduction phase. Repeated measures ANOVAs showed increase in valence and decrease in arousal in all conditions after induction, which persisted in the postinduction phase, and an increase in tiredness immediately after induction. Reduction in SCL was strongest in the fatigue condition. However, difference between groups was only evident when comparing fatigue and sadness conditions between 3-10 minutes. Lack of between-group differences and mixed physiological findings suggest that specificity is difficult to achieve through musical mood induction.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.004 |
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".