Perceived Social Support and Connectedness in Non-Suicidal Self-Injury Engagement
Bibliographic record
Abstract
Perceived social support has been posited as an important factor in non-suicidal self-injury (NSSI) cessation. Although, previous research suggests that social connectedness is the mechanism through which perceived social support influences psychological wellbeing. Thus, the present study investigated whether social connectedness is the mechanism through which perceived social support functions to influence NSSI engagement. Fifty-six women with ( M age = 20.18, SD = 2.07) and 84 without ( M age = 20.24, SD = 1.98) a history of NSSI completed online measures of perceived social support and social connectedness. A mediation model was conducted with social connectedness in the relation between perceived social support from family, friends, and significant others and NSSI engagement. Findings revealed that social connectedness fully explained the relation between perceived social support from all sources and NSSI engagement. The results suggest that the relation between perceived social support and NSSI engagement is fully explained by the degree to which individuals report feeling connected to others. Implications for future research and practice will be discussed.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".