Temperament, Bullying, and Dating Aggression: Longitudinal Associations for Adolescents in a Romantic Relationship
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
Adolescent bullying perpetration has previously been associated with dating benefits and costs in the short- and long-term, yet it is unclear how early temperament traits facilitate these associations. Therefore, the developmental pathways from temperament in early adolescence to bullying perpetration in middle adolescence and to dating outcomes in late adolescence were examined. Participants included 463 individuals who completed self-report measures on temperament traits at age 12, bullying perpetration at age 14, dating outcomes at age 19, and were in a romantic relationship at age 19. Findings from a path analysis revealed that an early adolescent temperament trait reflecting difficulty with self-regulation (i.e., lower inhibitory control) was associated with middle adolescent bullying perpetration and bullying perpetration was associated with late adolescent dating benefits (i.e., more dating partners) and costs (i.e., higher dating aggression perpetration). Lower inhibitory control also had significant indirect associations to the late adolescent dating outcomes through middle adolescent bullying perpetration. Findings suggest that although a temperament trait can facilitate adaptive dating outcomes through bullying, it can also come at a cost for romantic relationships. Results highlight the importance of early tailoring of bullying interventions to the self-regulatory difficulties of youth to prevent adverse long-term outcomes and to also recognize the challenges of developing interventions for behavior that can result in benefits.
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) | 0.001 | 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 it