A Narrative Inquiry into the Experiences of non-Aboriginal Counsellors working with Aboriginal Peoples
Bibliographic record
Abstract
With a call for non-Aboriginal counsellors to develop a better understanding of the health issues facing Canada’s Aboriginal peoples, future counsellors need to have a strong understanding of the changing social conditions and focus beyond existing paradigms of mental health care. Culturally relevant therapy is needed to engage with issues of poverty, unemployment, racism, and injustice (Nuttgens & Campbell, 2010). In this narrative inquiry study I explored the experiences of non-Aboriginal counsellors working with Aboriginal clients. I engaged with two counsellors, Bob and Liz, over a period of several years, in three to four conversations between two to three hours at a time. The conversations were transcribed verbatim and analyzed for narrative threads. Observations and field notes were collected, and reflections were incorporated into this study. Three narrative threads have been identified a) stories to live by, b) humility and c) being called to the work. It is important to understand non-Aboriginal counselling experiences across time, place, and diverse social contexts (Clandinin & Connelly, 2000). These experiences are embedded within life histories of people that raise questions about counsellor education and support. In order to provide effective and culturally relevant services counsellors may be required to step outside their current roles to include advocacy, outreach, prevention programs, psycho-educational and other forms of community based interventions. It is imperative for helping professionals to become educated on Aboriginal culture, cross-cultural practices, as well as multicultural counselling theory, indigenous psychologies and social justice action. Listening to the experiences of Bob and Liz also made visible the significant gaps and a lack of evidence informed teaching practices.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.019 | 0.013 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".