The Socialization of Unpaid Family Caregivers: A Scoping Review
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
As unpaid family caregiving of older adults becomes increasingly prevalent, it is imperative to understand how family caregivers are socialized and how they understand the caregiving role. This PRISMA-ScR-based scoping review examines the published literature between 1995–2019 on the socialization of potential and current unpaid family caregivers of older adults. Of 4,599 publications identified, 47 were included. Three perspectives of socialization were identified: (1) role acculturation ; (2) role negotiation and identification ; and (3) specialized role learning . The findings show how socialization involves different contexts (e.g., cultures), imperatives for action (e.g., circumstances), socialization agents (e.g., family), processes (e.g., modeling), and internal (e.g., normalization) and external (e.g., identification) consequences for caregivers. Future research could fruitfully explore how caregivers manage key turning points within the socialization process, disengage from the caregiving role, and negotiate the socialization and individualization processes within diverse cultural and funding contexts.
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 | 0.007 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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