Canadian Rheumatology Association Meeting Quebec City Convention Centre Quebec City, Quebec, Canada February 8–11, 2023
Bibliographic record
Abstract
The 77th Annual Meeting of the Canadian Rheumatology Association was held both in person at the Quebec City Convention Centre in Quebec City, Quebec, Canada, and virtually on February 8–11, 2023. The program consisted of presentations covering original research, symposia, awards, and lectures. Highlights of the meeting include the following 2023 Award Winners: Distinguished Rheumatologist, Gilles Boire; Distinguished Investigator, Murray Baron; Distinguished Teacher-Educator, Janet Pope; Emerging Investigator, Lihi Eder; Emerging Teacher-Educator, Steven Thomson; Ian Watson Award for the Best Abstract on SLE Research by a Trainee, Laura Whittall-Garcia; Phil Rosen Award for the Best Abstract on Clinical or Epidemiology Research by a Trainee, Timothy Kwok; Best Abstract on Research by a Rheumatology Resident, Mats Junek; Best Abstract on Basic Science Research by a Trainee, Marie-Hélène Normand; Best Abstract by a Post-Graduate Research Trainee, Leah Flatman; Best Abstract on Quality Care Initiatives in Rheumatology, Amanda Steiman; Best Abstract by a Medical Student, Shakeel Subdar; Best Abstract by an Undergraduate Student, Jeremiah Tan; Best Abstract by a Rheumatology Post-Graduate Research Trainee, Nicole Andersen; Best Abstract on Research by Young Faculty, Alexandra Legge; Best Abstract on Spondyloarthritis Research, Patricia Remalante-Rayco; Practice Reflection Award, Gold, Carrie Ye and Janet Roberts; Practice Reflection Award, Silver, Lillian Lim. Lectures and other events included: Keynote Lecture by Fiona Rawle: Communicating Science to Patients: Complexities & Caveats; Keynote Address by Murray Baron, Distinguished Investigator Awardee: New Outcome Measures for Systemic Sclerosis; State of the Art Lecture by John Isaacs: Precision Medicine in RA – The Precision Gap; Dunlop-Dottridge Lecture by Rae Yeung: What’s in a Name? That Which We Call JIA, By Any Other Name, Would It Still Be the Same Childhood Arthritis?; and the Great Debate: Be it Resolved that Canadians With New Inflammatory Arthritis Should Have Access to All Therapeutic Options at Disease Onset to Induce Remission. Arguing for: Cory Baillie and Anne MacLeod, and against: Michelle Batthish and Louis Bessette. Topics including rheumatoid arthritis, systemic lupus erythematosus, systemic sclerosis, Sjögren syndrome, psoriatic arthritis, spondyloarthritis, vasculitis, osteoarthritis, fibromyalgia, and their respective diagnoses, treatments, and outcomes are reflected in the abstracts, which we are pleased to publish in this issue ofThe Journal of Rheumatology.
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.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.443 | 0.150 |
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".