Bibliographic record
Abstract
Background: Recent research has found that family (e.g., informal, unpaid) caregivers to those in long-term care can experience significant risk of social isolation, a harmful social outcome linked to poor health and wellbeing. For many, the COVID-19 global pandemic has been a time marked by challenges that have exacerbated existing risk of social isolation and has likely impacted mental health and wellbeing among caregivers. As such, this paper outlines a protocol to investigate the extent to which the COVID-19 pandemic has impacted the psychological health and well-being of family caregivers of people living in residential long-term care.
 Methods/Design: A descriptive phenomenological design and photovoice methodology will be used alongside focus groups to capture the perspectives and voices of 15-20 family caregivers. Data will be analyzed thematically, and themes will be developed collaboratively alongside participants. A secondary analysis will be guided by a cumulative inequality lens to consider how the COVID-19 pandemic has differentially affected caregivers.
 Discussion: The results will fill a significant gap in the existing literature on caregiver isolation during this pandemic and inform the development and/or refinement of caregiver supports.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".