Preserving the ‘‘us identity’’ through marriage commitment while living with early-stage dementia
Bibliographic record
Abstract
Recognizing the impact of marriage commitment to living with early-stage dementia has important implications for developing proactive care for individuals with dementia and their families. This mixed method study of six couples experiencing early-stage Alzheimer’s dementia explored how married couples experienced the meaning of commitment through memory loss represented by the transitional process of pre-diagnosis, diagnosis, and post-diagnosis. Narrative analysis was used to identify shared themes from couples’ accounts through semi-structured interviews and supported by questionnaires related to commitment and marriage satisfaction. Couples’ commitment was expressed by four major themes: ‘partnership for life’, ‘reciprocity’, ‘resilience’, and ‘forgiveness’. Couples’ experienced an undisturbed, enduring commitment to their relationship in spite of the diagnosis of dementia. The ‘us identity’ of the couple, living-in-relationship, remained intact. Couples considered the challenge of dementia to be a collaborative venture — a journey into the unknown.
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".