Considering Cultural and Contextual Resources in Loneliness and Health Studies
Bibliographic record
Abstract
Abstract Loneliness is a significant public health problem for older adults around the world. Cultural and contextual resources influence the experience of loneliness, and its impact on health outcomes. Yet, there is a dearth of literature that examines the experience of loneliness in non-westernized cultures, rural spaces, or under resourced settings. This symposium brings together gerontological scholars from counseling, occupational therapy, healthcare informatics, and social work to examine loneliness in older adults navigating French-Canadian, Latin American, and US contexts. Researchers will highlight unique cultural (e.g., linguistic, familism, gender) and contextual factors (e.g., rural, transitory housing, nascent geriatric healthcare infrastructure) that may contribute to the presence of loneliness and challenge intervention implementation. Researchers will discuss findings from projects that: 1) examine the relationship of loneliness and smoking behaviors in older adults living in transitory housing in the US; 2) explore physical health, social, and technology factors that individually and jointly enhance or assuage loneliness in older adults living in rural Indiana; 3) examine health factors that facilitate social participation, and barriers and facilitators to implementing socialization interventions to reduce isolation and loneliness in low-income French-Canadian older adults; and 4) synthesize findings on quantitative studies investigating the relationship of loneliness and cognitive health in more than 26,000 Latin American older adults. Together, these presentations acknowledge critical cultural and contextual challenges that influence the impact of loneliness on health. Further, presentations will inform loneliness prevention and treatment efforts and highlight unique strategies to reach and include underrepresented older adults.
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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 | 0.057 | 0.045 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.015 | 0.013 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".