Towards a definition of anti-oppressive dietetic practice in Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Increasingly, dietitians have found ourselves working with racialized clients, communities, and colleagues across the health and food systems in Canada. We are often asked to treat the adverse health outcomes of Black, Indigenous, and racialized communities resulting from these oppressions at the individual level. However, it is the role of dietitians to engage in efforts to "reduce health inequities and protect human rights; promote fairness and equitable treatment" (College of Dietitians of Ontario, 2019). An anti-oppression approach is required for dietitians to understand how their power and privilege shape the dietitian-client relationship. The purpose of this commentary is to propose a shift from cultural competence or diversity and inclusion in dietetics to an explicit intention of anti-oppressive dietetic practice. We begin our exploration from the Canadian context. We draw from our background working in health equity in public health, and our experiences facilitating equity training using anti-oppression approaches with dietetic learners and other public health practitioners. In creating a working definition of anti-oppressive dietetic practice, we conducted a scan of anti-oppression statements by health and social services organizations in Ontario, Canada, and literature from critical dietetics. A literature search revealed anti-oppressive practice frameworks in nursing and social work. However, this language is lacking in mainstream dietetic practice, with anti-oppression only discussed within the literature on critical dietetics and social justice. We propose that "dietitians can engage in anti-oppressive practice by providing food and nutrition care/planning/service to clients while simultaneously seeking to transform health and social systems towards social justice."
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it