Daily Time Use as a Measure of Community Adjustment for Persons Served By Assertive Community Treatment Teams
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
PURPOSE: The purpose of the study was to examine daily time use of clients of Assertive Community Treatment (ACT) as a measure of their community adjustment and well-being. The actual daily time use of ACT clients in the four categories of personal care, productivity, leisure, and sleep were compared to the data for Canadian population norms. METHOD: Daily time use data were collected from 27 adult clients from two Assertive Community Treatment Teams in southeastern Ontario using recall time diaries of two weekdays. The data were coded using the Statistics Canada (1999) coding scheme. Descriptive statistics were used to determine time in the major categories of time use and z scores were used to compare the study sample to the adult Canadian population. The percentages of time spent in specific subcategories of activity were also compared. RESULTS: The results indicated an imbalance in occupation with time use dominated by leisure and sleep activities. Study participants spent significantly more time in passive leisure compared to active leisure and socialization. CONCLUSION: The activity patterns of ACT clients were not consistent with those associated with community adjustment, health, and well-being. Occupational therapists working in ACT are in a good position to contribute to the literature regarding occupational performance and mental illness and to lead ACT teams in discussions and practices that may promote health through activity.
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 | 0.004 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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