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Record W7056262253

The effectiveness of the Interactive Metronome® as a tool to improve selective attention of veterans within their roles in post-secondary education settings in eastern North Carolina

2015· other· en· W7056262253 on OpenAlexaboutno aff

Bibliographic record

VenueThe Scholarship East Carolina University's Institutional Repository (East Carolina University) · 2015
Typeother
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsMetronomeTest (biology)RehabilitationWorkforceWork (physics)Process (computing)Pilot test
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this study was to measure the effectiveness of the Interactive Metronome specific to improving attention. As veteran enrollment continues to increase in higher education, attention in the classroom and workforce due factors such as Post Traumatic Stress Disorder (PTSD) and Traumatic Brain Injury (TBI) have become an issue. Could veterans who have expressed concern of attention problems benefit from the Interactive Metronome (IM)? Three veteran students and employees from East Carolina University self-identified as having problems with attention and participated in the study. Subjects were given the IM-Home system after meeting with the PI to complete the Canadian Occupational Performance Measure (COPM), d2 Test of Attention, and learning to use the system. After 15 at-home sessions (4-6 weeks) with the IM, participants retook the COPM and D2. It was found that all participants rated their satisfaction with attention in school or work higher than before they started the IM. Additionally, post-test scores of the d2 Test of Attention showed that all participants were able to process more information. Based on these results and past studies, it is believed that the Interactive Metronome is a valuable tool in the rehabilitation process and may be especially helpful for veterans with attention problems.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.188
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.006
GPT teacher head0.213
Teacher spread0.207 · 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 teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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
Published2015
Admission routes1
Has abstractyes

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