The Changing Landscape of Continuing Care in Alberta: Staff and Resident Characteristics in Supportive Living and Long-Term Care
Bibliographic record
Abstract
With provincial policy changing institutional care provision for older adults who are unable to safely remain at home, supportive living represents a new middle-ground to provide care for older adults. We compared characteristics of supportive living staff and residents to those in long-term care (LTC), using facility and staff surveys, as well as administrative Resident Assessment Instrument (RAI) data, to describe differences and similarities between facility types. Data analysis included t-tests, chi-square tests, ridit analyses and odds ratios. Participants from 15 supportive living facilities were compared to participants from eight LTC homes. Supportive living healthcare aides were younger, worked fewer years and were more likely to work full time than LTC healthcare aides. LTC residents were more likely than supportive living residents to have: cognitive impairment, medical instability, and activities of daily living dependence. This knowledge, which situates supportive living in the new care continuum, is useful for policy makers and administrators deciding on interventions and clinical guidelines for care groups.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".