Precarious Aging: A Working Definition
Bibliographic record
Abstract
Abstract Until recently, studies of precarity have overlooked aging and late life. This poster presents a snapshot of conceptual work in progress on a Canadian Social Sciences and Humanities Research Council (SSHRC) Insight Grant on precarity and aging. The poster outlines existing definitions and theoretical perspectives, key results, a current evolving conceptual model, and a working definition of Precarious Aging. It situates existing knowledge and definitions of precarity, highlights crucial intersectional locations of gender, im/migration and (dis)ability, and clarifies the concept of precarity in later life. Results at this point in the study are based on conceptual reviews, reviews of literature on precarity and aging, and the consideration of allied concepts. In conclusion, the concept of precarity offers a promising lens to guide research in the field of social and critical gerontology, providing a foundation for an enhanced understanding of the lives and realities of older people with regards to aging, disadvantage, and inequality.
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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 | 0.016 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.004 |
| Science and technology studies | 0.004 | 0.041 |
| Scholarly communication | 0.008 | 0.011 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".