Changing Care: Applying the Transtheoretical Model of Change to Embed Equity, Diversity, and Inclusion in Long-Term Care Research in Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Healthcare policy reform is evident when considering the past, present and future of long-term care (LTC) in Canada. Some of the most pressing issues facing the LTC sector include the changing demographic composition in Canadian LTC homes, minimal consideration for the role of intersectionality in LTC data collection and analysis, and the expanding need to engage diverse participants and knowledge users. Using the Transtheoretical Model of Change (TTMC) as a framework, we consider opportunities to address intersectionality in LTC research. Engaging diverse knowledge users in LTC (e.g., unpaid caregivers, paid care staff), community (e.g., advocacy groups, service providers) and policy decision-makers (e.g., provincial government) is crucial. Empowering individuals to participate, modifying environments to support engagement, and facilitating ongoing partnerships with knowledge users are critical aspects of change efforts. Addressing structural barriers (e.g., accessibility, capacity, jurisdictional policies, and mandates) to research in LTC is also essential. The TTMC offers a framework for planning and enacting individual, organizational, and system-level changes for the future of LTC.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.021 |
| Research integrity | 0.000 | 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 it