Tracing the Expression of Resident Quality of Life Policies in Canadian Long-Term Care Settings
Bibliographic record
Abstract
Abstract Policies favouring safety, security, and order are expressed in preference to those oriented towards person-centred resident quality of life in Canadian long-term care settings. Factors impacting the expression of these latent (under-utilised) rules were uncovered through an analysis of long-term care related policies in four provinces. 84 policies relating to resident quality of life in long-term care were analysed in three sequences, incorporating jurisdictions, policy types, and quality of life domains, over time. The analysis revealed three policy levers: situations–providing explicit and implicit examples of resident oriented quality of life policy suppression in each jurisdiction; structures–identifying which types of policy and quality of life expressions are more vulnerable to dominance by others; and trajectories–confirming the cultural shift towards more person-centredness in Canadian long-term care related policies over time. Although these policies exist, their potentiality remains dormant in the dominant policy discourse, thereby signaling a positive post-pandemic possibility.
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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 | 0.009 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".