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Record W2549058059 · doi:10.1111/1467-9566.12496

Assembling activity/setting participation with disabled young people

2016· article· en· W2549058059 on OpenAlexafffundabout
Barbara E. Gibson, Gillian King, Gail Teachman, Bhavnita Mistry, Yani Hamdani

Bibliographic record

VenueSociology of Health & Illness · 2016
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsMcGill UniversityCentre for Addiction and Mental HealthHolland Bloorview Kids Rehabilitation Hospital
FundersCanadian Institutes of Health ResearchChildren's Hospital Foundation
KeywordsAffordanceFocus groupSociologyPsychologyFocus (optics)Conceptual frameworkRehabilitationPublic relationsSocial psychologyPolitical scienceCognitive psychologySocial science

Abstract

fetched live from OpenAlex

Rehabilitation research investigating activity participation has been largely conducted in a realist tradition that under-theorises the relationship between persons, technologies, and socio-material places. In this Canadian study we used a post-critical approach to explore activity/setting participation with 19 young people aged 14 to 23 years with complex communication and/or mobility impairments. Methods included integrated photo-elicitation, interviews, and participant observations of community-based activities. We present our results using the conceptual lens of assemblages to surface how different combinations of bodies, social meanings, and technologies enabled or constrained particular activities. Assemblages were analysed in terms of how they organised what was possible and practical for participants and their families in different contexts. The results illuminate how young people negotiated activity needs and desires in particular 'spacings' each with its own material, temporal, and social constraints and affordances. The focus on assemblages provides a dynamic analysis of how dis/abilities are enacted in and across geotemporal spaces, and avoids a reductive focus on evaluating the accessibility of static environmental features. In doing so the study reveals possible 'lines of flight' for healthcare, rehabilitation, and social care practices.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.098
GPT teacher head0.503
Teacher spread0.406 · 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

Citations40
Published2016
Admission routes3
Has abstractyes

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