SOCIAL RISK, VULNERABILITY AND PRECARITY: EXPLORING MIGRATION AND SETTLEMENT EXPERIENCES IN MID- TO LATER LIFE
Bibliographic record
Abstract
As the profile of older adults in the Global North changes with increasing proportions of foreign-born aging populations, there is a need to examine the intersecting markers of immigration, race/ethnicity, cultural beliefs and practices, poverty, and socioeconomic inequality among older immigrants (OI) as they manifest in their experiences of invisibility, marginalization, and exclusion. Despite their demographic significance, there has been little research on the complex and varied experiences of aging, risk, and insecurity among this group, particularly in the context of life course events like migration. A more comprehensive understanding of vulnerability and social risk among OI, as Grenier et al. (2017) point out, necessitates that closer attention be paid to the fragmented lived experiences of those outside the labour force, i.e., recently-arrived OIs. To this end, the framework of precarity is useful as it brings into sharp relief the creation of marginal identities that are often tied to migration.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".