Human tonic immobility: measurement and correlates
Bibliographic record
Abstract
BACKGROUND: Tonic immobility (TI) is a temporary state of motor inhibition believed to be a response to situations involving extreme fear. Limited attention has been directed to studying TI in humans; however, the phenomenon has been well documented in the animal literature. In humans, TI is believed to occur during sexual assault, and there have been reports of fear-induced freezing in the contexts of air, naval, and other disasters. METHODS: This study had three main purposes: (1) to assess the factor structure of a new self-report measure--the Tonic Immobility Questionnaire--designed to assess human TI in a range of traumatic events; (2) to explore associations among discovered TIQ factors and a measure of posttraumatic symptoms in the context of trauma type; and (3) to determine whether TI is related to suspected and empirically supported predictors of posttraumatic stress disorder. Participants were a subset of undergraduate students (n=78) who reported a TI experience in the context of a traumatic event. RESULTS: No differences were found in frequency or severity of TI reported across trauma types. Exploratory factor analysis of Tonic Immobility Questionnaire item responses resulted in a three-factor solution (i.e., physical immobility, fear, and dissociation). Significant positive correlations were found between the Tonic Immobility Questionnaire and measures of posttraumatic symptoms, dissociation, anxiety sensitivity, and absorption. Regression analysis revealed that peritraumatic dissociation scores alone accounted for 51% of the variance in TI scores. CONCLUSIONS: TI may represent an extreme behavioral expression of trauma-induced peritraumatic dissociation. Implications and directions for future research are discussed.
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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 | 0.003 |
| 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".