Enthusiasm and Moral Commitment: What Sustains Family Caregivers of Those With Dementia
Bibliographic record
Abstract
Elderly (n = 22) and young (n = 15) primary family caregivers of persons diagnosed with dementia and nonprimary caregivers (n = 13) were interviewed to assess their commitment to caregiving, internalization of the caregiving role (i.e., autonomy and self-determination), well-being, and appraisal of problematic situations. Primary caregivers reported a higher level of moral commitment than nonprimary caregivers. Young primary caregivers experienced more negative affect and less enthusiasm about caregiving and their relationship with the patient than other caregivers. Regression analyses suggest that greater identification with caregiving may generate enthusiasm, which in turn seems to foster well-being in primary caregivers and dampen their appraised threat of problematic situations. Finally, a tendency to appraise difficult situations as challenges when highly morally committed might explain primary caregivers' persistence.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| 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".