Navigating the Intangible: Working With Nonphysical Suffering on the Front Lines of Palliative Care
Bibliographic record
Abstract
While relieving suffering is palliative care's primary aim, how palliative care providers navigate patients' nonphysical suffering in their day-to-day work and the impact of working with nonphysical suffering on the clinician have been understudied. This exploratory study aims to begin to fill this gap in the literature. Results revealed that palliative care clinicians face several challenges in their efforts to navigate patients' nonphysical suffering in their day-to-day work, including (a) the intangible nature of nonphysical suffering, (b) systemic barriers (e.g., lack of time and adequate resources), (c) clinician helplessness or suffering, and (d) a lack of education, training, and support for clinicians specific to their work with patients' nonphysical suffering. Study outcomes have the potential to improve frontline clinical care with patients and support and education for clinicians.
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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 | 0.007 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".