Couples Coping With Multiple Sclerosis: Does Dyadic Coping Congruence Matter?
Bibliographic record
Abstract
Multiple sclerosis (MS) affects 90,000 Canadians and 25% of MS patients report their relationship is negatively affected by MS. Patient and partner wellbeing are also correlated therefore, examining coping from a dyadic perspective is warranted. The objectives of this thesis were to explore individual and conjoint dyadic coping (DC) strategies and DC congruence in couples high and low in relationship functioning (RF). MS patients and their partners completed quantitative measures and purposive sampling was used to categorize couples as high or low in RF. Interviews were conducted with participants separately and results were analyzed using thematic analysis. High RF couples generally engaged in adaptive strategies (e.g., illness acceptance) and low RF couples generally engaged in maladaptive strategies (e.g., conceptualizing MS as an individual issue). DC congruence was not as important as the additive effect of positive DC strategies. Contextual factors like life stage, financial stress, and culture influenced DC strategies.
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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 | 0.004 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".