“They come here because it’s a place of refuge”: Residential Care Facilities with Cultural Affiliations
Bibliographic record
Abstract
With the increase in Canada's seniors population (age 65 and over), there is a need to understand the residential requirements of this population.Almost 90 percent of seniors in Ontario reside in urban areas (Hodge 2008) and the majority live in the Greater Toronto Area.Of particular concern is the decrease in availability of informal care for aging and weakening individuals due to changes in economy and family relations.These changes are likely to result in a large influx of seniors into residential care facilities (RCFs) because not everyone is able to stay at home or is eligible to live in a long term care (LTC) facility.Seniors' reasons for relocating as well as an analysis of their experiences after the move are required as the need for RCFs increases.Cultural and/or religious groups have become important providers of RCFs in Canada by offering necessary services for an aging population.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".