Understanding Sensory \nExperiences in Palliative \nCare
Bibliographic record
Abstract
The qualitative study used the perspectives of 2 residents, 3 family caregivers, 4 professional staff and 3 hospice volunteers at the Kensington Hospice in Toronto, Ontario to understand holistically the sensory experiences of the resident. Individual semi-structured interviews were undertaken to collect the data. Analysis followed the principles of the constant comparative method where data collection and thematic analysis occurred concurrently and continued until data saturation (n= 12). Findings from this study revealed the current sensory experiences of residents, with themes rooted in highly interconnected categories: Shrinking Personal World, Decline, Personal items, Objects, Sight(quality of what is seen), Design and ervices. A wide variety of positive and negative experiences were reported that touched on these main categories.The study yields preliminary insight into how sensory information mediates perceptions of quality of services in this context.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 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".