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Record W2998406859 · doi:10.1002/pri.1832

Developing a revised definition of the Bobath concept: Phase three

2019· article· en· W2998406859 on OpenAlexaff
Julie Vaughan‐Graham, Cott Cheryl, Ann Holland, Marc Michielsen, Alba Magri, Mitsuo Suzuki, Dina Brooks

Bibliographic record

VenuePhysiotherapy Research International · 2019
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDelphi methodDelphiCLARITYStatement (logic)Process (computing)Computer sciencePsychologyApplied psychologyArtificial intelligencePolitical science

Abstract

fetched live from OpenAlex

OBJECTIVE: To develop a revised definition of the Bobath concept that incorporates the perspectives of members of the International Bobath Instructors Training Association (IBITA). METHODS: A three-phase consensus building design utilizing (i) focus groups; (ii) survey methods; and, (iii) real-time Delphi. This paper presents the findings from the real-time Delphi, an iterative process to collect and synthesize expert opinions anonymously, provide controlled feedback, with the overall goal of achieving consensus. RESULTS: One hundred and twenty-one IBITA members participated in the real-time Delphi. Over three Delphi Rounds, consensus was reached on six overarching conceptual statements and 11 statements representing unique aspects of Bobath clinical practice. One statement that aimed to describe the Bobath clinical term of "placing" was eliminated in Round One due to participant reservations that a text description was insufficient for this term. Seven statements underwent minor wording revisions in Round Two and Three to improve sentence clarity. CONCLUSION: Using the real-time Delphi, we were successful in gaining consensus in an expert group on a series of statements on which a revised definition of the Bobath concept could be based.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.393
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.338
GPT teacher head0.613
Teacher spread0.276 · 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 designTheoretical or conceptual
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

Citations16
Published2019
Admission routes1
Has abstractyes

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