Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT Although the loneliness of both older adults and immigrants is frequently asserted, knowledge regarding the implications of immigration for loneliness in later life is limited. In particular, little attention has been directed to the impact of factors that might differentiate individuals within the immigrant population. Using data from the 2007 General Social Survey (GSS-21) conducted by Statistics Canada, this study examined the effects of immigrant status as well as immigrant generation, length of residence in Canada and race/ethnicity on loneliness among adults aged 60 and over (N=10,553). Regression analyses (ordinary least squares) estimating both the general and age-specific effects of immigrant experience on loneliness, indicated that immigrants report higher levels of loneliness than native-born Canadians, that race/ethnicity influenced loneliness particularly among immigrants and that generational status as well as length of residence also had an impact, but one that differed across age groups. Immigration-related variables appeared less consequential for loneliness in the oldest-old (aged 80+) than in younger elderly age groups. These findings attest to the significance of immigrant status for an understanding of loneliness in later life but suggest a need to acknowledge the diversity of immigrant experiences associated with lifecourse and other factors.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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 it