Interpersonal intimacy experiences of divorced Canadian women: A qualitative study
Bibliographic record
Abstract
Objectives Divorce is an important life event that profoundly affects individuals’ emotional and social lives, particularly their interpersonal intimacy. This study aims to explore the lived experiences of divorced women in Canada regarding their interpersonal intimacy, identifying their challenges and transformations after divorce. Methods This is a qualitative study. Semi-structured interviews were conducted with 23 divorced women aged 28-54 years in Richmond Hill, Ontario, from April to July 2023, who had divorced at least in the past year. The interviews explored their emotional transitions, social support networks, self-perception, and future outlook on relationships. Data were analyzed using thematic content analysis in NVivo software. Results Four main themes were identified: Emotional Transition, Social Support/Isolation, Identity/ Self-Perception, and Future Outlook/Relationships. These themes had some subthemes and concepts, revealing the grieving and self-discovery process, the pivotal role of social networks and societal views, role reevaluation and identity, and the cautious optimism towards building new intimate relationships. Conclusion The complex interaction between emotional, social, and personal factors shapes the experiences of interpersonal intimacy after divorce in Canadian women. The findings highlight the importance of supportive networks, societal acceptance, and personal growth in navigating the complexities of interpersonal intimacy after divorce. This study contributes to a deeper understanding of the challenges and opportunities that divorced women in Canada face in their relationships, offering insights for therapeutic and social support interventions.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.023 | 0.005 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".