When advanced cancer patients won’t eat: family responses
Bibliographic record
Abstract
We conducted a grounded theory study examining nutritional care experiences in advanced cancer from the perspective of patients (n = 13), families (n = 23), and health care providers (n = 11) (McClement, 2001). That work generated an inductively derived model that captured important information about adult family members' perceptions and behaviour regarding the nutritional care their terminally ill adult relative received while hospitalized on an inpatient palliative care unit, and has been reported elsewhere (McClement et al, 2003). This article provides a more detailed description of one of the major sub-processes of the model regarding family member responses to declining oral intake and weight loss in a terminally ill relative-the sub-process of 'letting nature take its course: it's best not to eat.' The strategies family members use when letting nature take its course, and the consequences of these strategies for patients, family members and health care providers are reported. Implications for practice and research are provided.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".