Adaptation following stroke: A personal projects analysis.
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
OBJECTIVES: Assessment of adaptation following stroke has tended to focus either on acceptance of disability or global indicators of well-being. People with stroke, however, tend to view adaptation in terms of reengagement with personally valued activities. We model the adaptation process by assessing change in importance, control, stress, challenge, pleasure, support and self-identification of personal projects (i.e., one's current activities such as work, leisure, and recreational activities) from prestroke to 24 months poststroke. METHOD: Personal projects, general health, and general well-being were assessed via interviews with a sample of 67 community-residing stroke survivors (39 male; mean age = 64.7 years, SD = 13.2) on five occasions over the first 24 months poststroke. RESULTS: Multilevel (hierarchical) modeling of the longitudinal data indicates that project dimensions of Control, Stress, Challenge, Pleasure, and Support predict well-being in expected ways. Although projects at 6 months poststroke were rated as more important, stressful, challenging, and supported by others and less controllable and pleasurable than prestroke projects, by 12 to 18 months all project ratings had returned to prestroke levels, thereby suggesting successful adaptation. CONCLUSIONS/IMPLICATIONS: Longitudinal analysis of survivors' participation in valued activities poststroke revealed a pattern of adaptation that relates to but goes beyond that suggested by global measures of health, functioning, and well-being. The focus on adaptation of personal projects or valued activities may provide a helpful way of examining and improving well-being poststroke and offer new insights to inform the development of effective interventions for improving well-being following stroke. (PsycINFO Database Record (c) 2013 APA, all rights reserved).
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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