Clinical vs social approaches to pediatric patient care: the benefits and resistance of therapeutic recreation
Bibliographic record
Abstract
This presentation outlines the work I did as a Service Aid at the Montreal Children’s Hospital (MCH) from January 2022 to May 2022. I discuss the benefits and setbacks of the work I did with adolescent patients in the MCH psychiatry ward as the “art and play lady”. I also discuss the staff resistance I experienced in this role of offering therapeutic recreation with an embedded social (as opposed to more traditionally clinical) approach. As a teacher with an MA in art education, I also talk about how I was not treated as a professional by a number of the staff who told me I was “just a teacher”. This is not formal research but is instead an anecdotal and narrative account of my experiences in a role with a less traditional, socially based, patient-centered approach to patient care. The presentation also offers interesting examples of patient artwork that resulted from this experience. Overall, my story points toward the need for greater shifts in the hospital culture to occur to make it more feasible for therapeutic recreation to be available to patients. My story also suggests that more funding and education are needed to make social approaches to patient care more accepted by hospital systems.
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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 | 0.008 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.025 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.008 | 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".