EXPLORING THE CAREGIVING CAREER: VARIATIONS IN SPOUSES’ CONCERNS
Bibliographic record
Abstract
Abstract Caregiver identity theory posits that family caregivers’ relationship identity changes across five phases of the caregiving career. As the career unfolds, the relationship identity changes from one comprised primarily of the spousal role (phase 1) to one comprised equally by spousal and caregiver roles (phase 3), and one comprised primarily by the caregiver role (phase 5). This study investigated whether spouses/partners’ most important concerns about caregiving varied across the caregiving career. Participants included 135 caregivers of spouses/partners with a chronic condition. They were asked to identify their most important concern related to caregiving, along with demographic questions. Thematic analyses of their concerns yielded eight themes focused on the caregiver or dyad. Caregiver focused themes included burden, providing best possible care, worry about ability to care, physical health, financial concerns, and needing/managing help. Dyadic themes were communication and relational deprivation. Differences across the caregiving career were found in terms of ranked proportion of concerns. The most common concerns in phase 1 were equally distributed across communication, needing/managing help, and providing best possible care. Phase 2’s most common concern was providing the best possible care. Phase 3’s most common concern was worry about ability to care. The most common concerns in phase 4 were equally distributed across burden and worry about ability to care. Phase 5’s most common concern was burden. Findings reveal there are differential concerns across the caregiving career that align with a greater focus on relational factors earlier in the career and caregiver burden later in the career.
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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 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".