Bibliographic record
Abstract
The circumstances surrounding the deaths of 23 patients on a behavior stabilization unit during a 1-year period were examined. The death rate was more than double that of previous years, and raised concern for the staff. The majority of deaths (n = 17) occurred within 2 months of admission to the unit, and 16 of the patients who died had a diagnosis of vascular or mixed dementia. The presenting behaviors for these patients may be similar to those of pre-death restlessness, a condition that may affect individuals in their last hours or days of life. No literature can be found linking pre-death restlessness with end-stage vascular dementia. The memory of how a person dies can linger for family and loved ones (Enck, 1992). Distress caused by behaviors with end-stage dementia may be alleviated if the symptoms of pre-death restlessness are recognized. It may be a relief for family and staff to know the patient is indeed dying, rather than exhibiting new and seemingly uncontrollable behaviors. In that situation, appropriate palliative care could be initiated for the patient's and family's comfort. Accurate nursing assessment, evaluation, communication, and documentation of both the behaviors and interventions is vital in supporting both patients and families.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.001 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".