Bibliographic record
Abstract
The substantial number of childless elderly in Canada and the United States raises important concerns about the nature of their family support, as well as their psychological well‐being. Although the (mixed) effects of childlessness on the mental health of the elderly are well documented in the literature, little is known about the social distribution of psychological distress and depression within this population: how well the childless elderly live, the status of their mental health, and what factors affect their psychological well‐being are all crucial questions that remain unanswered. This paper utilizes Pearlin et al.’s (1981) stress process model to examine psychological distress and depression among the childless elderly. Our empirical analysis uses a nationally representative sample of childless individuals aged 55 and over (N= 2,311) from the 1996‐1997 National Population Health Survey (NPHS), and generalized linear model (GLM) techniques. Generally, our results support the stress process model. We find that individual‐level stressors exert a strong and consistently negative impact on psychological distress and depression. We also find significant buffering effects of (perceived) social support.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".