First Nations and Métis Employees’ Experiences: Exploring Successes in Non-First Nations and Métis Organizations Through a Community-Based Project
Bibliographic record
Abstract
The Truth and Reconciliation Commission of Canada (TRC) Calls to Action stipulates to increase and retain the number of First Nations, Métis and Inuit employees in the healthcare sector. While many non-First Nations, Métis and Inuit organizations recognize the importance of this call, many organizations often struggle with how to reflect and proceed effectively, humbly, and with intention. Retention of First Nations, Métis and Inuit employees requires thoughtful organizational support, which benefits not only employees through improved well-being, development, and reduced burnout, but enhances services for the people they serve. This community based project used qualitative description grounded with First Nations, Métis and Inuit approaches to research to explore what supports success for First Nations, Métis and Inuit employees working in non-First Nations, Métis and Inuit organizations. Four women of First Nations or Métis heritage were invited to an interview to discuss successes. We found that the importance of allyship, autonomy, and opportunities for professional development contributed to these women’s successful experiences working in non-First Nations, Métis and Inuit organizations. These findings support First Nations and Métis employees' experiences at non-First Nations and Métis organizations. Organizations are encouraged to authentically hire, retain, and support First Nations, Métis and Inuit employees proceeding with intention and humility, including understanding roles as allies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.031 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".