When secrets come to mind: Preoccupation, suppression and engagement
Bibliographic record
Abstract
Abstract When secrets come to mind, do people try to suppress them or do they engage with them? Whereas earlier research suggested that people try to suppress secrets, recent work suggests that people often engage with their secrets. Although thought suppression tends to be associated with greater distress, engagement may be ameliorative. In two longitudinal studies of 653 adults (55% women; Mage = 41.3, SD = 12.4) keeping a secret from their partner, we show that engagement with and suppression of secrets are highly positively related. Like suppression, the more people engage with secrets, the more negative affect and guilt they report feeling. Longitudinal analyses indicate that whereas changes over time in engagement and suppression both predicted reduced secret preoccupation, reductions in suppression (but not engagement) mediated reductions in guilt and negative affect. These results indicate that suppression and engagement are more intimately connected than previously thought. We found no evidence that engagement was ameliorative.
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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 | 0.002 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".