Family Climate and Resilience: Coping and Growth When a Spouse and Co-Parent Faces Long-Term Severe Illness
Bibliographic record
Abstract
This study examines how family climate supports one parent in coping with a spouse's long-term severe illness, focusing on the impact of family dynamics on coping strategies and personal growth. Such illnesses often disrupt family balance, creating stress for all members, with the healthy spouse relying on internal strengths and external resources. The research addresses three key questions: How can the coping process of the healthy parent be described when dealing with a partner’s long-term illness? What family climate factors either hinder or support the coping process? How do the meanings attributed to coping by the healthy parent relate to the family climate experienced during the illness? A qualitative study, based on in-depth interviews with 16 parents (April–May 2023), identified two coping patterns: personal regression and growth. Participants highlighted family traits that either facilitated or hindered coping, emphasizing the interplay between family dynamics and individual responses. Findings underscore the role of supportive family traits in fostering resilience and guiding individuals and families toward effective adaptation and growth during crises.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".