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Record W2921469666 · doi:10.1097/npt.0000000000000268

An International Conference on Vestibular Rehabilitation

2019· article· en· W2921469666 on OpenAlexaboutno aff
Janet Odry Helminski, Michael C. Schubert, Susan L. Whitney

Bibliographic record

VenueJournal of Neurologic Physical Therapy · 2019
Typearticle
Languageen
FieldNeuroscience
TopicVestibular and auditory disorders
Canadian institutionsnot available
Fundersnot available
KeywordsAttendanceRehabilitationVestibular rehabilitationPsychologyVestibular systemMedicineMedical educationPolitical scienceAudiologyPhysical therapyLaw

Abstract

fetched live from OpenAlex

Being a world traveler has afforded Dr Susan Whitney exposure to excellent researchers and clinicians who conduct basic science and clinical research relevant to behavior and function of the vestibular system. Eight years ago, she planted the seed within the Vestibular Special Interest group (SIG) of the Academy of Neurological Physical Therapy (ANPT) to host a world-class conference on vestibular rehabilitation and include international speakers. She shared the idea with Drs Anne Galgon (Chair of the Vestibular SIG, whose efforts in bringing the idea to the ANPT Board of Directors were critical for the meeting's approval), Janet Helminski, Becky Olson-Kellogg, and Michael Schubert. All were supportive of the idea. A primary goal of the conference was to introduce the US vestibular physical therapy (VPT) community to outstanding international vestibular research that was relevant to clinical practice. This inspiration gave rise to the Inaugural International Conference on Vestibular Rehabilitation (ICVR), which was held on August 17 to 20, 2018, in Chicago, Illinois. The ICVR was a tremendous success, included were 28 speakers, 12 of whom were international. Total attendance included 553 attendees from 43 states of the United States and 4 Canadian provinces, with an overall representation of 20 countries. A secondary goal was to publish 8 manuscripts that highlighted content from the conference, which were directly relevant to VPT. This supplement is representative of content from the ICVR conference and contains the following concepts: Klatt et al1 provide a theoretical framework and review that establishes a correlation between vestibular function and cognition; Todd et al2 discuss a novel method of vestibulo-ocular reflex (VOR) gain adaptation that incorporates the subject's “real-time” VOR gain as it is being driven to increase; Helminski3 provides 2 interesting cases of a positional vertigo variant affecting the posterior semicircular canal; Eggers4 discusses how to examine and characterize the trajectory and other attributes of nystagmus in order to arrive at a correct diagnosis; Gold and Schubert5 discuss the pathophysiology of a peripheral vestibular skew deviation and offer examination techniques useful to differentiate it from mimics such as a fourth cranial nerve palsy; Whitney and Sparto6 update us on oculomotor abnormalities after sustaining a mild traumatic brain injury; Jeong and Kim7 discuss the critical relationship between proper vitamin D metabolism and occurrence of positional vertigo; and finally, Kattah8 provides an update on clinical tests invaluable for distinguishing dangerous central from more benign peripheral causes of vestibular disorders. We hope that this special conferences supplement is of interest to our neurologic physical therapy community, especially for those people who were not able to attend the meeting. The conference and this special supplement to the Journal of Neurologic Physical Therapy would never have happened without the generosity and support of the ANPT. Both Presidents Deborah Larsen and Patty Sheets, plus their respective Boards of Directors, deserve our thanks for their vision in supporting the conference and this special conference supplement.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.117
Threshold uncertainty score0.392

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0010.001
Scholarly communication0.0050.004
Open science0.0020.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.1170.032

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.

Opus teacher head0.042
GPT teacher head0.327
Teacher spread0.286 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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