Strengths perspective in social work practice with older adults
Bibliographic record
Abstract
The purpose of the Master of Social Work Practicum II that took place with the Elderly Services Team of the Regional Mental Health and Addiction Services of the Northern Health Authority in Prince George was to learn about and be part of the Team's work; specifically, to participate in assessments, to co-facilitate and participate in the Older Women's Support Group, as well as to provide assistance with the Older Women ' s Support Group New Members Curriculum Research Project. Further, the practicum included a pilot study about the effectiveness of individual therapy based on the strengths perspective and cognitive therapy in social work practice with older adults. Nine older adults were provided with six individual therapy sessions to address issues such as depression, anxiety, adjustment problems, grief, and loss. Effectiveness of the therapy was measured by analyzing statistical significance of the difference between participants' pre-test and post-test mean scores on the Geriatric Depression Scale and Life Satisfaction Index. T test analysis revealed that there was no statistically significant improvement in participants' depression and life satisfaction. However, follow up interviews with research participants indicated that participants had a positive experience with individual therapy, and that they would recommend therapy to other older adults.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".