Aging in Nationhood: Everyday Nationalism and Belonging Among Seniors in Old‐Age Homes in Québec
Bibliographic record
Abstract
Scholars of aging and nationalism rarely engage with each another. To remedy this gap, I examine how ethnonationalism becomes a resource for navigating the precarity of aging. Drawing on ethnographic fieldwork in two private senior residences in a region of Québec, I show how financially privileged Québécois seniors enact nationhood through everyday cultural practices. I introduce the concept of "aging in nationhood" to describe how seniors draw on ethnonationalist identities to foster comfort, community, and meaning at an age of decline-often with exclusionary effects. Seniors who do not-or cannot-assimilate into majority culture experience social isolation. By linking nationalism and aging, I show how seniors reproduce the nation, shaping their well-being and the boundaries of belonging. While grounded in Québec, this concept offers new insight for thinking about how dominant-group seniors mobilize ethnonationalism as a source of membership and exclusion in white aging societies across the Atlantic.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".