Compass and the Truth and Reconciliation calls to action
Bibliographic record
Abstract
The main purpose of the practicum is to identify recommendations for organizational change to decolonize mental health treatment at Compass, an organization providing children’s mental health services in Sudbury, Ontario. Decolonization means to undo the effects of colonialism that currently impact Indigenous people (Schill et al., 2019). The recommendations around decolonization are in reference to the TRC (Truth and Reconciliation Commission of Canada) Calls to Action of 2015. The TRC document contains 94 Calls to Action with a main purpose of redressing the injustices done by the Canadian Government and several church denominations through residential schools (Truth and Reconciliation Commission of Canada, 2015). My practicum focused on applying Calls to Action 19, 22, and 23 to Compass. Call 19 reflects the need to close health outcome gaps related to suicide, and mental illness. Call 22 calls for the incorporation of Indigenous culture into health care. TRC Calls to Action 23 requires hiring an increased number of Indigenous professionals and increasing cultural education in the workplace for non-Indigenous people (Truth and Reconciliation Commission of Canada, 2015). This practicum is to inspire interest in organizational change within the agency, and it has helped to focus Compass’s strategic plan regarding Indigenous services. The resulting effect has been increased Indigenous education activities at Compass. The following practicum thesis will include a review of literature, methods, and activities employed to identify recommendations for Compass to address the TRC Calls to Action for organizational change.
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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 | 0.034 | 0.056 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.031 | 0.031 |
| Scholarly communication | 0.018 | 0.011 |
| Open science | 0.006 | 0.021 |
| Research integrity | 0.026 | 0.028 |
| Insufficient payload (model declined to judge) | 0.036 | 0.012 |
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".