Towards equitable representation in long-term residential care: widening the circle to ensure “essential voices” in research teams
Bibliographic record
Abstract
The COVID-19 pandemic exposed long-standing inequities in Canada's long-term residential care (LTRC) sector with life-threatening consequences. People from marginalized groups are overrepresented among those who live in, and work in LTRC facilities, yet their voices are generally silenced in LTRC research. Concerns about these silenced voices have sparked debate around ways to change LTRC policy to better address long-standing inequities and enhance the conditions that foster dignity for those who live and work in LTRC. Weaving an analysis of historical and cultural attitudes about LTRC, and promising strategies for engaging people with lived experience, we argue that the voices of people with lived experience of life and work (paid and unpaid) in LTRC are essential for ethically and effectively shifting long-standing inequities. Lessons from a 4-year, national, multi-disciplinary research study, known as the Seniors Adding Life to Years (SALTY) project, suggest that resident-determined quality of life can be prioritized by centring the perspectives of residents, their family/friends, direct care workers, volunteers, and people living with dementia in the research process. Accordingly, we highlight strategies to include these voices so that meaningful and impactful system change can be realized.
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.
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 | 0.025 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.013 |
| 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".