Workshop (Clinical/Best Practice Implementation) ID 1985360
Bibliographic record
Abstract
Background The Paralyzed Veterans of America inaugural Clinical Practice Guideline (CPG) for Bone Health and Osteoporosis Management for individuals with spinal cord injury or disease (SCI/D) was published for clinicians in 2022. To disseminate knowledge, we developed a series of nine podcasts and handouts, “The Bare Bones Series” (TBBS), linked with each CPG chapter. The intent was to share the CPG content with people with lived experience of SCI/D (PLEX). Objectives This workshop will: 1) introduce TBBS and intended use of the CPG framework; and 2) provide participants the opportunity to apply their learning from the podcast episodes “Get Moving and Loading” and “Snap and Crack” through discussion of two case based scenarios. Methods The aim, content, intended use and targeted audience for TBBS will be highlighted. TBBS was developed and hosted by two PLEX, project team members, and 11 guests who were the CPG chapter authors. Podcast handouts contain infographics, key concepts and recommendations for action. Attendees including clinicians, PLEX, family and friends, will review 3 of 9 episodes. The panelists (Chair, PLEX and project team) will discuss the CPG content and actions to take to improve bone health and reduce fracture risk in PLEX with SCI/D. TBBS will be shared through social media, stakeholder and community events, and conference presentations across North America. Conclusions Workshop attendance will aid participants in advocating for bone health assessments, understanding fracture risk, and promoting a dialogue with their care team about how to prevent fracture, and reduce fracture related morbidity and mortality.
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 | 0.022 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.004 | 0.008 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.517 | 0.195 |
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".