Five Years In: The AAOS Resident Assembly, “Bidirectional Communication,” and Early Career Involvement in Orthopaedic Leadership
Bibliographic record
Abstract
Established in 2014, the American Academy of Orthopaedic Surgeons (AAOS) Resident Assembly (RA) has served as a mode of "bidirectional communication" between AAOS and a combined resident body. Training and education initiatives relevant to the current issues facing residency training can be passed up to and directly addressed by the leadership of AAOS, whereas AAOS recruitment and membership initiatives can be disseminated to the full resident body through the RA. Since its inception in 2014, the RA has grown markedly, with representation from most MD and DO residency programs in the United States and Canada. It also has included an increasing number of medical students from Orthopaedic Surgery Interest Groups to directly take part in RA activities. For the past half decade, the RA has served as a partner for the AAOS in addition to a valuable recruitment tool to engage the broadest diversity of potential orthopaedic leaders at their earliest stages of training. This work is a review of the development of the RA over its first half decade, as well as a discussion of its future goals in line with AAOS priorities.
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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 | 0.019 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.008 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.013 |
| Research integrity | 0.002 | 0.008 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".