Deception in Romantic Relationships: Subjective Estimates of Success at Deceiving and Attitudes toward Deception
Bibliographic record
Abstract
Participants (N = 97) completed a questionnaire about deceptive communication in romantic relationships. Responses indicated that people generally believe that they are fairly successful in their efforts to deceive their partners and, moreover, that they believe they are more successful in deceiving their partners than their partners are at deceiving them. Results also suggest that attitudes toward dishonesty in romantic relationships are neither as simple nor straightforward as the costs associated with discovery might lead one to expect. In addition, participants' beliefs about the importance of honesty in romantic relationships and their perceptions regarding their own and their partner's success at deceiving one another predicted their use of certain modes of deception (i.e., falsification), as well as their responses to suspected deception (both how they responded when they suspected their partner may be lying and how they reacted to a partner's suspicions that they had been dishonest).
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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 | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".