Self-reported irony and psychosocial factors
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The current study examines individual differences in self-reported irony use in a sample of 151 young adult females in Poland ( M age = 22.19; SD = 2.17). In addition to self-reported irony use (via the Irony Self-Report Scale, a Polish translation of the Sarcasm Self-Report Scale, SSS, Ivanko et al. 2004 ), we analyzed Big Five personality traits ( Ten-Item Personality Inventory , Gosling et al. 2003 ), humor styles ( The Humor Styles Questionnaire , Martin et al. , 2003 ), and self-reported social media use, frequency of face-to-face interactions, and the number of siblings. Self-reported irony use was partially predicted by the personality trait of agreeableness and by three humor styles — aggressive, self-defeating and self-enhancing. Among the other variables, only the number of siblings proved to be a significant predictor of self-reported irony use. Overall, our results add to the emerging literature on individual differences in irony use.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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 it