Sonic therapy for anxiety management in clinical settings
Bibliographic record
Abstract
Traditionally, healthcare facilities have been designed from a practical standpoint providing efficient spaces for laboratories and increased numbers of rooms to accommodate beds for patients. Such an approach has often led to facilities that "function effectively" but can indirectly create an atmosphere that is stressful, undermining the psychological needs of patients. This research uses an interdisciplinary approach combining immersive environmental sounds constructed as auditory journeys and biofeedback to help manage anxiety and stress in clinical settings. A study was designed exposing 55 patients experiencing anxiety and stress to the auditory journeys. Physiological measurements of skin conductance level (SCL) was used to index parasympathetic activation. Heart rate (HR), and heart rate variability (HF HRV and LF HRV) were used to index sympathetic activation. Although HR, HF HRV, and LF HRV showed no significant effects, the results from SCL were highly significant, suggesting that auditory journeys may assist patients with anxiety management.
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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 | 0.000 | 0.001 |
| 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 | 0.000 | 0.000 |
| 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".