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
BACKGROUND AND OBJECTIVE: The concept of precarity holds the potential to understand insecurities and risks experienced by older people in the contemporary social, economic, political and cultural context. This study maps existing conceptualizations of precarity in relation to aging and later life, identifies key themes, and considers the use of precarity in two subfields. RESEARCH DESIGN AND METHODS: This article presents the findings of a two-phase scoping study of the international literature on precarity in later life. Phase I involved a review of definitions and understandings of precarity and aging. Phase II explored two emerging subthemes of disability and im/migration as related to aging and late life. RESULTS: A total of 121 published studies were reviewed across Phase I and Phase II. Findings reveal that the definition of precarity is connected with insecurity, vulnerability, and labor and that particular social locations, trajectories, or conditions may heighten the risk of precarity in late life. IMPLICATIONS AND DISCUSSION: The article concludes by outlining the need for conceptual clarity, research on the unique multidimensional features of aging and precarity, the delineation of allied concepts and emerging applications, and the importance of linking research results with processes of theory building and the development of policy directives for change.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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