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Record W3044544102 · doi:10.1080/17549507.2020.1784278

Development and evaluation of the Basic Outcome Measure Protocol for Aphasia (BOMPA)

2020· article· en· W3044544102 on OpenAlex
Aura Kagan, Nina Simmons‐Mackie, Elyse Shumway, J. Charles Victor, Lisa Chan

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueInternational Journal of Speech-Language Pathology · 2020
Typearticle
Languageen
FieldNeuroscience
TopicNeurobiology of Language and Bilingualism
Canadian institutionsUniversity of Toronto
FundersSpeech-Language and Audiology Canada
KeywordsProtocol (science)AphasiaMeasure (data warehouse)Outcome (game theory)Computer sciencePsychologyMedicineCognitive psychologyData miningMathematicsPathologyAlternative medicine

Abstract

fetched live from OpenAlex

PURPOSE: The Basic Outcome Measure Protocol for Aphasia (BOMPA) is a practical tool that allows for a quick self-report on quality of life from the perspective of the person with aphasia, as well as a clinical evaluation of aphasia severity and the ability to participate in conversation. The primary aim of this paper is to describe development of BOMPA and report on results of an inter-rater reliability study involving speech-language pathology raters. METHOD: The inter-rater reliability study utilised a fully crossed design and included independent ratings of 12 videos by 20 speech-language pathologists. RESULT: Results indicate moderate to strong inter-rater reliability among participant speech-language pathology raters (0.65-0.96), as well as when comparing these participant ratings with an expert rater's gold standard (0.59-0.86). CONCLUSION: BOMPA may be a useful outcome measurement tool for time-pressed clinicians in clinical settings.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.076
Threshold uncertainty score0.284

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.152
GPT teacher head0.411
Teacher spread0.259 · 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