Situating the life story narratives of aging immigrants within a structural context: the intersectional life course perspective as research praxis
Why this work is in the frame
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Bibliographic record
Abstract
Research on racialized older immigrants does not fully acknowledge the interplay between the life course experiences of diverse populations and the structural conditions that shape these experiences. Our research team has developed the intersectional life course perspective to enhance researchers’ capacity to take account of the cumulative effects of structural discrimination as people experience it throughout the life course, the meanings that people attribute to those experiences, and the implications these have on later life. Here we propose an innovative methodological approach that combines life story narrative and photovoice methods in order to operationalize the intersectional life course. We piloted this approach in a study of the everyday stories of aging among diverse immigrant older adults in two distinct Canadian provinces with the goals of enhancing capacity to account for both context and story and engaging with participants and stakeholders from multiple sectors in order to influence change.
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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 | 0.147 | 0.108 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.004 | 0.011 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.004 |
| 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 it