Self as CYC Educator: An Arts-Based Reflection from Matty Hillman
Bibliographic record
Abstract
This week is the fifth in our uploads from the 20th Canadian National Child and Youth Care conference held in Vancouver, British Columbia this past May. In this episode, Matty Hillman talks about transitions he has gone through as a CYC student, a muralist, community citizen, CYC practitioner, and now as an educator. Matty Hillman is a Child and Youth Care instructor in the Human Services program at Selkirk College in British Columbia (the traditional territory of the Sinixt people). He has a Bachelor’s and Master’s degree in Child and Youth Care from the University of Victoria. His research interests include, sexual violence prevention and response on post-secondary campuses, healthy masculinities and critical youth mentorship. As a muralist, he is especially interested in the intersection of youth work and public art - exploring the opportunity these complimentary practices create for empowerment, community building and social justice advancements.
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.
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 | 0.008 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.033 | 0.012 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.005 | 0.024 |
| Insufficient payload (model declined to judge) | 0.019 | 0.005 |
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".