The Role of Information and Communication Technology in End-of-Life Planning Among a Sample of Canadian LGBT Older Adults
Bibliographic record
Abstract
To better understand the role of technology in later-life planning among older lesbian, gay, bisexual, and trans (LGBT) adults, we conducted focus groups to explore factors linked to diverse sexual orientations and gender identities. Twenty focus groups were facilitated across Canada with 93 participants aged 55 to 89. Constant comparative analysis yielded four categories: (a) fear, (b) individual benefits, (d) social elements, and (d) contextual elements. Fear related to technology and fear of end-of-life planning. Individual benefits referred to technology as a platform for developing LGBT identities and as a source of information for later-life planning. Social elements were establishment and maintenance of personal relationships and social support networks. Contextual elements referred to physical and situational barriers to technology use that limited access and usability. These findings can inform technological practice and services to enhance later-life planning.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".