Cancer cachexia and its impact on patient dignity: What nurses need to know
Bibliographic record
Abstract
Noted physician, Sr. William Osler, is credited with saying, "Care more particularly for the individual patient than for the special features of the disease". Osler understood that each patient for whom we care is first and foremost a person, who also happens to be living with a particular illness. In addition to understanding the nature of the patient's illness, therefore, it is also critically important that we come to understand the patient's unique story and set of circumstances. Doing so allows us to engage with patients in a way that affirms their sense of dignity and personhood. Drawing on the exemplar of cancer cachexia, this editorial reminds clinicians of the importance of Osler's sage advice to attend to patient dignity and personhood, and provides nurses with direction about how they can do that in practice.
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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 | 0.011 | 0.039 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.010 | 0.020 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.018 | 0.033 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".