Field Note—Talk It Out Counseling Clinic: A Field Education Innovation
Bibliographic record
Abstract
The COVID-19 pandemic introduced an unforeseen challenge to social work field education and drastically changed the landscape of social work direct practice. In March 2021, University of Toronto’s Factor-Inwentash Faculty of Social Work launched the Talk It Out Counseling Clinic (the Clinic), training MSW students to provide short-term counseling and wellness workshops to residents in the Greater Toronto Area. Based on a community partnership model with an antiracism and trauma-informed service orientation, the Clinic provides services targeting those who face multiple barriers to health and equity and those who belong to Black and other racialized communities. In this paper, we introduce the Clinic, including its staffing and structure, partnership model, and training curriculum, present operation updates, and discuss future directions.
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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 | 0.015 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.005 | 0.009 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.028 | 0.004 |
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".