Bibliographic record
Abstract
As the newly elected President of the American Chiropractic Association (ACA) Council on Chiropractic Pediatrics, I welcome our members as they receive their third issue of the Journal of Chiropractic Medicine (JCM). The Council has had a busy few months, which began with executive committee elections for the offices of the President and Secretary. Dr Jennifer Brocker, former Vice President of the Council, was elected President, and Dr Jennifer Murphy was elected Secretary. Dr Julie Hartman was appointed to fill the vacant Vice President position, and Dr Elise Hewitt became the Immediate Past-President. Together with the new members of the executive committee, I look forward to further supporting and advancing the specialty of chiropractic pediatrics. The Council recently held our annual symposium in conjunction with the ACA Council on Physiological Therapeutics and Rehabilitation in Las Vegas, NV. In a combination of plenary sessions and pediatric-specific sessions, speakers covered a variety of topics that included An Introduction to Dynamic Neuromuscular Stabilization Techniques, Rehabilitation Exercises for Scoliosis Management, Diagnosis and Management of Tongue Tie, and An Introduction to Craniosacral Therapy. The collaboration was well received by members of both councils, and we look forward to future collaborative events. On the topic of education, I am pleased to announce that we have 2 exciting educational events on the
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 teacher head, 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".