Northern Initiative for Social Action: An Occupation-Based Mental Health Program
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
Northern Initiative for Social Action (NISA) is a consumer-run, occupation-based, nonprofit organization located in northeastern Ontario, Canada. The NISA organization has grown in response to research revealing few opportunities for participation in personally meaningful and socially valued occupation for persons with mental illness living in the community of study. This article describes a mixed-design research study conducted by the ParNorth Research Unit of NISA and an occupational therapist. The study purposes were to (a) better understand the emerging characteristics of the NISA program and identify which the participants found helpful; (b) evaluate whether participation in NISA improved members' quality of life; and (c) ascertain whether participation reduced members' need for more traditional and costly methods of care (e.g., hospitalization, crisis services). Focus groups, daily participant observation, a quality of life interview, a consumer member survey and objective review of hospitalization data were used for data collection. Qualitative results indicated that NISA helped to meet participants' being, belonging, and becoming needs. Quantitative data indicated that overall, NISA members perceive an improvement in their subjective quality of life and sense of well-being. Their perceptions are supported by minimal use of crisis services and hospitalization, improved socioeconomic status, and several members' success in obtaining paid employment either within or outside NISA. Future challenges include the need to clearly describe the evolving NISA model and to ensure that the growth of this new organization does not exceed secured human or fiscal resources.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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