Bibliographic record
Abstract
OBJECTIVE: The objectives of the study are: (a) to develop a profile of socially isolated older adults (SIOA) in British Columbia (BC) based on sociodemographic and health characteristics and (b) to examine whether SIOA under-or overutilize health care services. METHOD: This study uses telephone interview data collected from a random sample of 1,064 older adults (65+) in BC. The sample was identified using established criteria from the six-item Lubben Social Network Scale. RESULTS: The results indicate that 17% of the sample is socially isolated. To summarize, the strongest predictors of social isolation are income, gender, marital status, self-rated health, length of residence, and home ownership. Further analysis indicates that SIOA were not more inclined to overuse health services. DISCUSSION: The findings underscore the importance of understanding differential profiles of need and service use for SIOA within broader social contexts, and are discussed in terms of their implications for health care policy and program planning for this vulnerable population.
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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 | 0.003 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.008 | 0.013 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.099 | 0.027 |
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".