Differentiation of Self and Hope Mediated by Resilience: Gender Differences
Bibliographic record
Abstract
The intent of the present study was to examine the associations among differentiation of self, resilience and hope. Extending Bowen’s family systems theory to adolescents in a middle eastern culture, we anticipated age and gender-based differences in the level of the constructs as well as in the associations among them. Employing a multistage cluster sampling procedure, a sample of 300 adolescents (132 girls and 168 boys) ranging in age from 14 to 19 years old (M = 16.36 years; SD = 1.24) were recruited from junior and senior high schools in Khoramabad. Data were collected through self-report measures, Differentiation of Self Inventory, Connor-Davidson Resilience Scale and Snyder Hope Scale, and analyzed via descriptive statistics, correlations and bootstrap analyses. Higher scores of differentiation were related to greater resilience and hope. Scores on I-position, emotional cutoff and fusion with others were also associated with resilience and hope. Age and gender differences emerged in certain components of differentiation. However, a moderated mediation analysis revealed no moderating effects of age and gender in the association between differentiation and resilience. Separate gender based bootstrapping results for mediation highlighted the specific indirect paths that resilience has in the relationship between I-position and hope in adolescent boys and between emotional closeness (low emotional cutoff) and hope in adolescent girls. Findings are discussed with regard to the cross-cultural validity of Bowen family systems theory.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".