I struggle with your fidgeting: A qualitative study of the personal and social impacts of misokinesia
Bibliographic record
Abstract
Misokinesia, the reduced tolerance to others' repetitive bodily movements, impacts individuals' personal, social, and professional lives. The present study aimed to elucidate the factors contributing to Misokinesia Sensitivity (MKS) by exploring the subjective experiences of affected individuals, thereby guiding future empirical research and informing clinical awareness. Using a qualitative approach, we conducted semi-structured interviews with 21 participants from an online support group on Facebook. Data were analyzed through thematic analysis to uncover patterns and themes in their lived experiences. The thematic analysis revealed three main themes: internal cognitive and affective impacts, external social impacts, and pragmatic factors related to MKS triggers and responses. These findings provide a foundational understanding of MKS, highlighting its significant personal and social consequences and suggesting areas for targeted interventions. The insights gained aim to enhance clinical recognition and support the development of effective management strategies for those affected by MKS.
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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 | 0.012 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.014 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".