Self-Regulation and Self-Presentation: Regulatory Resource Depletion Impairs Impression Management and Effortful Self-Presentation Depletes Regulatory Resources.
Bibliographic record
Abstract
Self-presentation may require self-regulation, especially when familiar or dispositional tendencies must be overridden in service of the desired impression. Studies 1-4 showed that self-presentation under challenging conditions or according to counter-normative patterns (presenting oneself modestly to strangers, boastfully to friends, contrary to gender norms, to a skeptical audience, or while being a racial token) led to impaired self-regulation later, suggesting that those self-presentations depleted self-regulatory resources. When self-presentation conformed to familiar, normative, or dispositional patterns, self-regulation was less implicated. Studies 5-8 showed that when resources for self-regulation had been depleted by prior acts of self-control, self-presentation drifted toward less-effective patterns (talking too much, overly or insufficiently intimate disclosures, or egotistical arrogance). Thus, inner processes may serve interpersonal functions, although optimal interpersonal activity exacts a short-term cost.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".