Loss-related mental states impair executive functions in a context of sadness
Bibliographic record
Abstract
Stress and anxiety have been shown to temporally impair executive functions, but the role of other emotions, such as sadness, has been inconclusive. Moreover, the role of affect regulation in this relationship has not been extensively studied. The present research investigated whether certain types of mental states (mental output resulting from the use of affect regulation within a specific context or with respect to a specific material or theme) relative to the context of loss would predict impairment of executive functions. Participants were randomly assigned to read either a loss-related newspaper article inducing sadness or a neutral newspaper article. Results showed that low mental states relative to loss (maladaptive affect regulation) predicted impairment of executive functions following an induction of sadness, but not following the neutral induction. Conversely, high mental states (adaptive affect regulation) were not predictive of impairment of executive functions in both the sadness and neutral condition. These findings have implications for the boundaries within which emotion can disrupt high-order cognitive processes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.005 | 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 teacher head, 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".