Development and Implementation of the Family Caregiver Decision Guide
Bibliographic record
Abstract
Care provided by family is the backbone of palliative care in Canada. The critical roles performed by caregivers can at the same time be intensely meaningful and intensely stressful. However, experiences of caregiving can be enhanced when caregivers feel they are making informed and reflective decisions about the options available to them. With this in mind, the purpose of this five-phase research project was to create a Family Caregiver Decision Guide (FCDG). The Guide entails four steps: thinking about the current caregiving situation, imagining how the caregiving situation may change, exploring available options, and considering best options if caregiving needs change. The FCDG was based on available evidence and was developed and refined using focus groups, cognitive interviewing, and a feasibility and acceptability study. Finally, an interactive version of the Guide was created for online use ( https://www.caregiverdecisionguide.ca ). In this article, we describe the development, evaluation, and utility of the FCDG.
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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 | 0.033 | 0.044 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".