Clinical social work with children and youth at Connexus Community Resources
Bibliographic record
Abstract
This report outlines my practicum experience as a Child and Youth Mental Health (CYMH) counselor at Connexus Community Resources from July 2024 to February 2025. I completed my practicum on the clinical services team at Connexus which allowed me to get a sense of the different programs and services provided by the agency while focusing on clinical counseling. The report outlines my learning goals, which include developing skills in different therapeutic modalities (specifically Cognitive Behavioural Therapy [CBT] and play therapy) and using these skills to address complex trauma, as well as to learn how to utilize different counselling skills cross culturally; these goals are all pointed towards my overall goal, which was to start developing my identity as a clinical social worker in the north. My personal positioning and theoretical orientation, specifically how my social location shapes my current practice and how I follow a social constructivist strengths-based approach, are explored. A literature review highlights five topics that formed the foundation of my learning goals and shaped my practicum: complex trauma, the therapeutic relationship and play therapy, CBT and Trauma-Focused CBT, northern practice, and cross-cultural work with Indigenous children and youth. A discussion of my learning experience highlights the progress I made in completing my learning goals as well as demonstrates some of the challenges I encountered, such as in learning how to shift my lens from a child welfare perspective to a clinical perspective.,
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.026 | 0.013 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".