Counseline: Onsite & Online Counselling, 2012-2013 Report
Bibliographic record
Abstract
From 2008-2012, the Factor-Inwentash Faculty of Social Work (FIFSW) partnered with St. Michael’s College and Victoria College at the University of Toronto to develop, deliver and evaluate a four-year pilot counselling initiative for undergraduate university students. This initiative, entitled the Cyber Practicum, entailed six MSW interns providing timely and accessible services to undergraduate students at St. Michael’s College and Victoria College. The service comprised traditional face-to-face counselling and cyber counselling (i.e., asynchronous email). The students were supervised by a social worker with over 20 years of experience, Dr. Deborah Levine, who was seconded from the University of Toronto Counselling and Psychological Services (CAPS). The service was successful and considered valuable by the Registrars and Dons of St. Michael’s College and Victoria College. Aspects of the Cyber Practicum identified as particularly helpful included: a) shorter waiting periods to access service, b) less stigma associated with seeing a social worker rather than a psychiatrist, and 3) lack of judgment and feeling of acceptance by the MSW interns. In response to this positive feedback, a partnership was created among the University of Toronto, Faculty of Arts and Science and its undergraduate Colleges, Health and Wellness, and the Factor-Inwentash Faculty of Social Work, to collaborate in offering such a service with some modifications, for a three year period beginning in September 2012.
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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 | 0.001 | 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 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.163 | 0.032 |
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".