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Record W2905470062 · doi:10.1002/pri.1762

Developing a revised definition of the Bobath concept

2018· article· en· W2905470062 on OpenAlexaff
Julie Vaughan‐Graham, Cheryl Cott, Ann Holland, Marc Michielsen, Alba Magri, Mitsuo Suzuki, Dina Brooks

Bibliographic record

VenuePhysiotherapy Research International · 2018
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDelphi methodFocus groupDelphiPsychologyFocus (optics)Applied psychologyClinical PracticeMedical educationComputer scienceMedicineNursingArtificial intelligenceSociology

Abstract

fetched live from OpenAlex

OBJECTIVE: This study was developed as a consensus-building exercise within the International Bobath Instructors Training Association (IBITA) to develop a revised definition of the Bobath concept. METHODS: A three-phase design utilizing (a) focus groups, (b) survey methods, and, (c) real-time Delphi. This paper details Phase 1 and 2. RESULTS: Forty IBITA members participated in five focus groups. Eight broad themes were developed from the focus groups from which the survey statements were developed. There was a high level of agreement on all nine survey statements identifying overarching constructs and on 12 of the 13 statements identifying unique aspects of Bobath clinical practice. Lower scores were attributed to lack of understanding of the term humanistic, Bobath clinical practice addressing multiple domains such as impairments, activities, and participation and limited agreement on the description of the term "placing." CONCLUSION: Focus groups and a web-based survey were successful in soliciting the opinions of IBITA members on themes and statements of importance for the development of a revised Bobath definition. The results of Phase 1 and 2 will inform Phase 3, a real-time Delphi, to gain consensus within IBITA on statements on which a revised Bobath definition is to 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)0.001
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 score0.495
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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)0.0040.000

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 head0.374
GPT teacher head0.618
Teacher spread0.245 · 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

Citations21
Published2018
Admission routes1
Has abstractyes

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