Non-supportive interactions in the experience of women family caregivers
Bibliographic record
Abstract
The purpose of this ethnographic study was to identify and describe types of non-supportive interactions perceived by 59 women family caregivers in four diverse situations. Participants included 15 mothers of infants born prematurely, 14 mothers of a child with a chronic disease (asthma or diabetes), and women caring for an adult family member with either cancer (15) or dementia (15). Data collection methods included an initial in-depth interview with all women, followed by a second interview with a smaller group of caregivers including a card sort exercise that was based on thematic content analysis of the first interview data. A typology of non-supportive interactions was developed from analysis of the first two interviews and confirmed in a final interview with a subset of study participants. Interviews were audio-taped and transcribed verbatim. Women in all caregiving situations described experience with three types of non-supportive interactions. These interactions were negative, ineffective, or lacking expected support. The women's appraisal of interactions as supportive or non-supportive was rooted in their personal expectations and the context of their situation. Information about types of non-supportive interactions can sensitise professionals, family and friends to mismatches between their assistance and caregivers' requirements, potentially avoiding negative consequences.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".