Communitas House: a Canadian hospice incorporating medical assistance in dying
Bibliographic record
Abstract
Recently legalized in Canada, Medical Assistance in Dying (MAID) has generated a demand for interior environments that can adapt to the evolving rituals associated with end-of-life and death. In the case of MAID, the right to choose where and how to die puts emphasis on the quality of interior environments that accompany death rituals. Inspired by this human rights issue, this Interior Design Practicum project focuses on the design of Communitas House, a hospice that aims to enhance the quality of life for patients, their families and the caregivers providing access to MAID. The design aims to promote psychological, physical, spiritual and emotional wellness through the interior design experiences surrounding MAID. Located within Crescent Park Drive in Winnipeg, MB, Communitas House includes the design re-use of an existing resort building, which will be architecturally adapted and built on the site. Surrounded by the natural environment, Communitas House takes advantage of the healing benefits of biophilic design through the direct and indirect inclusions of nature, as well as symbolic connections. This practicum translates liminality and the study of collective end-of-life rituals to highlight the importance of social support through MAID death experiences. The essence of living in the moment and the associated feelings of sanctuary, security, and comfort is explained through the concept of hygge. The resulting design solution emphasizes the benefits of social ritual practices and natural influences in supporting MAID end-of-life experiences.
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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 | 0.001 | 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 | 0.010 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".