Wandering in both mind and body: Individual differences in mind wandering and inattention predict fidgeting.
Bibliographic record
Abstract
Anecdotal reports suggest that during periods of inattention or mind wandering, people tend to experience increased fidgeting. In four studies, we examined whether individual differences in the tendency to be inattentive and to mind wander in everyday life are related to the tendency to make spontaneous and involuntary movements (i.e., to fidget). To do so, we developed self-report measures of spontaneous and deliberate mind wandering, as well as a self-report scale to index fidgeting. In addition, we used several existing self-report measures of inattentiveness, attentional control, and memory failures. Across our studies, a series of multiple regression analyses indicated that fidgeting was uniquely predicted by inattentiveness and spontaneous mind wandering but not by other related factors, including deliberate mind wandering, attentional control, and memory failures. As a result, we suggest that only spontaneously wandering thoughts are related to a wandering body.
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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 | 0.008 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".