Social Connectedness and Suicide Ideation among Community-Residing Older Adults: A Psychometric Investigation and Assessment of a Theoretical Model
Bibliographic record
Abstract
Suicide poses a significant global public health concern, disproportionately affecting older adults. This thesis investigated the role of social connectedness in potentially protecting against suicide ideation among community-residing older adults in Ontario, Canada. A scoping review and psychometric evaluation were conducted to validate the suitability of the Social Connectedness Scale – Revised (SCS-R) with older adults. A conceptual model of older adult suicide risk (see Heisel & Flett, 2014) was also tested, utilizing bivariate correlation and multivariable regression analyses, to assess the association between social connectedness and suicide ideation, accounting for demographic covariates, risk (depression), and precipitating factors (daily hassles). Results indicated a significant negative association between social connectedness and suicide ideation, controlling for covariates, risk, and precipitating factors. The findings highlight the importance of social connectedness in potentially protecting against suicide ideation and thus contributing to suicide prevention initiatives in older adults. This study contributes to understanding the complex interplay of psychological factors influencing late-life suicide risk.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".