Bibliographic record
Abstract
RacismPracticing as a naturopathic doctor (ND) who is a person of colour comes with some unique challenges.This is a topic that I've spoken about with other BIPOC (Black, Indigenous, and people of colour) NDs over the past couple of years.For many of us, we were minorities in our class at the Canadian College of Naturopathic Medicine and that feeling of being a visible minority continued as we started to practice.Being one of the few people of colour in the room can be an uncomfortable experience that can impact your confidence in many ways.You may feel, in this situation, the need to prove that you're just as relatable, likable and capable as everyone else.Feeling "different" has a strong effect on the mind and can lead to anxiety about one's ability to succeed in many areas of life-career included.When I started my practice, I worked in a town that, at the time, was not particularly diverse.I remember wondering whether patients would be less likely to book with me because I didn't have a western last name.Would patients prefer to work with someone who shares the same ethnicity?Should I downplay my culture to try to blend in more?Are these concerns warranted based on facts or are they just in my head?After having many conversations with other BIPOC healthcare providers, I learned that I was not alone in having these concerns.These small moments of solidarity with my colleagues inspired me to write about this issue candidly.I hope that I can be a source of comfort for other NDs who have experienced some of these challenges and that I can make others feel less isolated.When I started my practice, in 2017, I always had a little stage fright before seeing patients, but I never knew why.Then one day, the reason became clear to me.I had been invited to give a talk, something I normally dread and get very nervous about.The talk was to be held at a dance studio that, as I soon discovered, put a strong emphasis on multiculturalism.I walked in, full of my usual public speaking nervousness, but as I walked through the doors and saw that most of the members were people of colour, my anxiety melted away.For the first time, I did not feel nervous talking about naturopathic medicine in front of a crowd.It was a pivotal moment for me that made me realize that my anxiety around practicing as a naturopathic doctor in various settings may have something to do with being a visible minority.
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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 | 0.011 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.017 | 0.040 |
| Scholarly communication | 0.013 | 0.007 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.006 | 0.013 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".