LETTER TO THE EDITOR REGARDING: EVOLVING BUSINESS MODELS IN ORTHOTICS BY SCHNEIDER, N.
Bibliographic record
Abstract
The purpose of this letter is to continue the dialogue regarding the paper "Evolving business models in Orthotics" in the Canadian Prosthetics & Orthotics Journal Volume 4, Issue2, No.3, 2021. In it we present the perspective of the current Alberta Association of Orthotists and Prosthetists (AAOP) and provide additional context and information on historical events. Finally, we provide additional clarity on how costing is approached in the Province of Alberta (Canada) and the purported inequity in compensation between the two disciplines. Article PDF Link: https://jps.library.utoronto.ca/index.php/cpoj/article/view/38313/30512 How To Cite: Pardy C, Scott S, Barnert J, Reimer C. Letter to the editor regarding: Evolving business models in orthotics by Schneider N. Canadian Prosthetics & Orthotics Journal. 2022; Volume 5, Issue 2, No.5. https://doi.org/10.33137/cpoj.v5i2.38313 Corresponding Author: Connor Pardy, M.Sc., CPOAlberta Orthotic and Prosthetic Centre, Calgary, AB, Canada.Past-President of the Alberta Association of Orthotists and ProsthetistsE-Mail: connor@aopconline.comORCID ID: https://orcid.org/0000-0003-4475-9775
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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 | 0.004 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.017 | 0.019 |
| Insufficient payload (model declined to judge) | 0.009 | 0.007 |
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".