Bibliographic record
Abstract
The Editorial Board of the Canadian Journal of Wound, Ostomy and Continence (CJWOC), which was previously known as NSWOC Advance, in collaboration with the Board of Directors and Core Program Leaders of Nurses Specialized in Wound, Ostomy and Continence Canada (NSWOCC), is pleased to announce that Dr. Laura Teague and her co-authors have been awarded the 2024-2025 CJWOC Manuscript Award. The manuscript, which earned this distinction, was published in the December 2024 issue of NSWOC Advance (Volume 35, Issue 3). The title of the manuscript is Exploring estimation of hospital costs and associated factors among persons with cord injury undergoing surgical closure of stage 4 pelvic pressure injuries. The authors included: Laura Teague, PhD, BA, BNSc, MN, NP-Adult, NSWOC Gina Browne, PhD, Reg.N., Hon.LL.D Lehana Thabane, PhD Stephen Birch, PhD Colleen McGillvray, BSc, MD, FRCP Gary Foster, PhD Maya Deeb, BSc, MD, FRCPC James Mahoney, MD, FRCSC Karen E. Campbell, PhD, MScN, RN, NSWOC, WOCC(C) This manuscript is grounded in a chapter from Dr. Laura Teague’s doctoral research, which was originally completed in July 2020. Dr. Teague began the process of preparing her research for submission to NSWOC Advance (now the Canadian Journal of Wound, Ostomy and Continence) prior to her passing in November 2023. After her passing, Dr. Karen Campbell—a long-time colleague and friend—took on the role of corresponding author and continued the submission process to ensure Dr. Teague’s work would be published as she intended. In honour of Dr. Laura Teague’s significant contributions, the Editorial Team of the CJWOC and the NSWOCC Board are privileged to present this award posthumously to her husband, David Breukelman.
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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 | 0.047 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.437 | 0.243 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".