the moderating role of friendship quality
Bibliographic record
Abstract
This study investigates the relationship between school bullying and non-suicidal self-injury (NSSI) in adolescents, with a particular focus on the mediating role of alexithymia and the moderating effect of friendship quality. The present study employed the Bullying Questionnaire, the Toronto Alexithymia Scale, the Friendship Quality Questionnaire, and the Adolescent Non-Suicidal Self-Injury Assessment Questionnaire with 701 middle school students. The results indicate that (1) Student bullying significantly predicts NSSI (79.92%) and (2) alexithymia partially mediated this relationship (20.08%). Moreover, (3) friendship quality was identified as a significant moderator in the relationship between student bullying and NSSI (β = −0.07, p < 0.05). Furthermore, friendship quality also moderated the relationship between alexithymia and NSSI (β = −0.003, p < 0.01). In conclusion, the study highlights the mediating role of alexithymia and the moderating role of friendship quality, providing valuable insights for psychological interventions targeting adolescent populations and adding to the social buffer theory. Friendship quality may reduce non-suicidal self-injury and alleviate the symptoms of alexithymia, which explores friendship quality as a protective factor for alexithymia
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.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".