The World Naturopathic Federation: Global opportunities for the Australian profession
Bibliographic record
Abstract
The World Naturopathic Federation was formally launched in Calgary, Canada in June 2015. Less than one year on, the WNF is in the process of developing formal relations with the World Health Organization and has members drawn from five continents. At the end of its founding year, Australia and Canada are the only countries with representation across all membership categories of the WNF, demonstrating a commitment across the entire spectrum of the naturopathic professions in these countries to connect with the international naturopathic community to advance the profession on a global and a local level. This paper highlights the history and efforts which have led to this momentous achievement, as well as the perspectives and experiences of organisations from each membership category within Australia. The potential contribution of the Australian naturopathic community and the opportunities to strengthen the profession within Australia through the WNF are also described from the viewpoint of organisations who have chosen to be involved.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".