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Exploring How Factors Impact the Activities and Participation of Persons with Disability: Constructing a Model Through Grounded Theory

2014· article· en· W329436247 on OpenAlexafffund
Joy Wee, Margo Paterson

Bibliographic record

VenueThe Qualitative Report · 2014
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsQueen's University
FundersQueen's University
KeywordsConceptualizationGrounded theoryActivities of daily livingPsychologyPerspective (graphical)Affect (linguistics)Scale (ratio)Qualitative researchGerontologyDevelopmental psychologyApplied psychologySocial psychologySociologyMedicine

Abstract

fetched live from OpenAlex

This paper explores a conceptualization of how factors impact activities of daily living (ADL) and participation from the perspective of persons with disability. This study identified what, and how, factors perceived by participants affect their daily activities, to better inform reporting of scores obtained on measures of ADLs and participation such as the Barthel Index and the Participation Scale. Grounded theory methodology was used to conceptualize a model, employing semi-structured interviews guided by categories of the above measures. Eight themes emerged from 24 participants, resulting in conceptualization of the successful adaptation model, which demonstrates relationships amongst factors, activities, and participation. Health professionals can use this model to assist persons with disability achieve desired goals.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.079
Threshold uncertainty score0.366

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.263
GPT teacher head0.441
Teacher spread0.179 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations23
Published2014
Admission routes2
Has abstractyes

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