The Impact of Work Interferences on Family Caregiver Outcomes
Bibliographic record
Abstract
Most research into caregiver employment and outcomes conceives of employment as a dichotomous variable—employed or not. This study examines the relationship between work interferences and caregiver burden, well-being, and self-esteem within a modified stress process model. Regression models are employed using a population-based random sample of caregivers. Employment status effects on outcomes for the total sample are estimated, followed by estimations of the effects of work interferences on the same outcomes for the employed subsample. Employment status is unrelated to outcomes in the total sample. In the employed subsample, a 13-item work interferences scale is related to burden but unrelated to well-being and self-esteem. Of the 13 items, only “performance at work was affected because of caring for a care recipient” is associated with all three caregiver outcomes. These findings suggest that subjective assessment of work interferences may play a more important role than does employment status.
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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 | 0.005 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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".