Can research participants comment authoritatively on the validity of their self-reports of mind wandering and task engagement?
Bibliographic record
Abstract
The study of mind wandering rests upon the assumption that people are able to consistently and accurately introspect and report on these sorts of mental experiences. Although there is some initial evidence that people can indeed accurately report on the subjective experience of mind wandering, to date, no work has directly examined people's degree of confidence in their self-reports of mind wandering and the effects that confidence has on the accuracy of such reports. In the present study, participants completed a sustained-attention task during which they intermittently provided assessments of task engagement (i.e., whether they were focused on the task or mind wandering), as well as reports of confidence in the accuracy of their assessments. This study yielded 3 key findings: We found substantial between- and within-subject variability in both (a) reported mind wandering and (b) confidence in mind-wandering reports, and, most critically, (c) we found that the relation of reported mind wandering and task performance varied as a function of confidence. We discuss the implications of these findings in the context of the literature on mind wandering.
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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 | 0.225 | 0.710 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.012 |
| Scholarly communication | 0.010 | 0.012 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.009 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".