Stress Reactivity of Emotional and Verbal Speech Content in Schizophrenia
Bibliographic record
Abstract
Speech fundamental frequencies (SFFs) are nonverbal sound frequencies that convey emotion in speech. The degree of SFF long-term averaged spectra (LTAS) convergence between conversants reflects aspects of conversant-reported quality of the interaction (e.g., emotional synchrony). This study investigated whether SFF LTAS convergence between inpatients diagnosed with schizophrenia (n = 20) and an interviewer was associated with severity of illness (SOI), formal speech disturbance (FSD), and stress reactivity of FSD. Participants provided speech samples describing stressful and nonstressful life experiences. In the stress condition, SFF LTAS was negatively correlated with SOI and FSD. Moreover, patients exhibiting stress reactivity of FSD also evidenced stress reactivity of SFF LTAS. These findings suggest that the emotional and verbal contents of speech are disrupted by stress in schizophrenia, and SOI is associated with FSD and reduced emotional communication during stressful conditions. The interaction between stress reactivity of FSD and SFF LTAS supports the construct validity of a reactivity dimension in schizophrenia.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".