The Emotional Labor of Personal Grief in Palliative Care: Balancing Caring and Professional Identities
Bibliographic record
Abstract
The paid provision of care for dying persons and their families blends commodified emotion work and attachments to two often-conflicting role identities: the caring person and the professional. We explore how health care employees interpret personal grief related to patient death, drawing on interviews with 12 health care aides and 13 nurses. Data were analyzed collaboratively using an interpretively embedded thematic coding approach and constant comparison. Participant accounts of preventing, postponing, suppressing, and coping with grief revealed implicit meanings about the nature of grief and the appropriateness of grief display. Employees often struggled to find the time and space to deal with grief, and faced normative constraints on grief expression at work. Findings illustrate the complex ways health care employees negotiate and maintain both caring and professional identities in the context of cultural and material constraints. Implications of emotional labor for discourse and practice in health care settings are discussed.
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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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".