Differences in daily lie-telling patterns from adolescence to older adulthood
Bibliographic record
Abstract
The current study cross-sectionally examined daily lie-telling patterns of adolescents, young adults, middle adults, and older adults. Participants (N = 298; Mage = 37.30, SD = 22.51, range = 13–86; 30.5% males) were alerted to complete surveys three times daily about their lie-telling behaviors, including the frequency, the type (self-oriented, other-oriented, or to conform), and the topic of lies told. The frequency of lie-telling was found to significantly differ across age groups suggesting a decrease in lying with age. When examining the types of lies, adolescents and young adults told more self-oriented lies compared to older adults, but no age differences were found for other-oriented lies or lies to conform. The topic of the lie was also found to vary by age, suggesting that age-relevant social goals and contexts may influence lie-telling patterns. Results provide the first comprehensive account of daily lie-telling across adolescence and adulthood.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".