Conditional Process Modeling of the Relationship Among Self-Reliance, Loneliness, and Depressive Symptoms, and the Moderating Effect of Feeling Understood
Bibliographic record
Abstract
ABSTRACT: Self-reliance features as one of the notable male norms espoused by traditional masculine socialization. Strict adherence to a self-reliant attitude has been found to confer risk for depression and suicidality among men. Yet, little research has investigated the factors that may contribute to self-reliance having a negative impact for men. Using data from a large sample of Canadian men (N = 530), the present study examined the association between self-reliance and depression, while also assessing the roles of loneliness and not feeling understood as contributing factors in this process. Findings indicated that the moderated mediation model was significant, pointing to loneliness as a significant mediator in the association between self-reliance and depression. Furthermore, the findings revealed that not feeling understood moderated the relationship between self-reliance and loneliness, indicating that this association applies mainly to those men who do not feel understood by at least one important person in their life.
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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 | 0.008 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".