Abstracts from the 2015 Research Poster Session at the American Massage Therapy Association Annual Convention
Bibliographic record
Abstract
Introduction: "Stringhalt" is a horse condition that causes one or both hind legs to spasm when walking or trotting.The condition is thought to be related to a neurological cause from plant toxicity or peripheral nerve injury.The prognosis is poor, and the horse's performance and quality of life can be affected.Treatment has included surgically cutting the digital extensors, with varied results and additional problems.Case Presentation: The case study is a 12-year-old Akhal-Teke horse of excellent pedigree.In 2011, she was caught in barbed wire overnight and sustained lacerations to the bone.Shortly after the injury, the horse was placed in an inadequate stall for several months and was unable to walk or run, developing stringhalt.Currently, her condition is aggravated by stress and dietary changes, and alleviated by certain types of massage (myofascial, acupressure, triggerpoint release).The incidence of stringhalt is every 3-5 minutes, with more frequent and severe symptoms on the right.The horse is unable to run or back up.Methods: Six 1 to 1.5 hour bi-weekly treatments were performed.The treatments consisted of myofascial release at the cervical, sacrum, and iliums; acupressure of the bladder meridian including c-spine, t-spine, L-spine, and hamstring; and trigger-point release of the iliacus.Results: After six treatments, the horse was seen running and standing in a position that promotes hip extension.She had not been able to do either since the injury.The frequency and severity of the spasms have decreased to every 10-20 minutes.The horse's owners report that her disposition and quality of life are much improved.Discussion: The results suggest that myofascial release, acupressure, and trigger-point therapy may be utilized to provide a positive treatment outcome in the case of stringhalt.Note that the scope of practice varies by state, and special training is needed to work with the equine population.hand self-shiaTsu fOr sleep prObleMs in persOns WiTh chrOnic pain: a pilOT sTudy*
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.459 | 0.161 |
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".