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Record W2774610252 · doi:10.17411/jacces.v7i2.119

Rethinking the bathroom for adolescents with Cerebral Palsy: an exploratory pilot study addressing privacy and independence

2017· article· en· W2774610252 on OpenAlexaff
Marie-Claire Bernatchez, Christèle Poirier, Ernesto Morales, Désirée B. Maltais

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2017
Typearticle
Languageen
FieldHealth Professions
TopicAssistive Technology in Communication and Mobility
Canadian institutionsCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalUniversité LavalCentre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean
Fundersnot available
KeywordsCerebral palsyPsychologyIndependence (probability theory)Exploratory researchApplied psychologyInternet privacyComputer sciencePsychiatry

Abstract

fetched live from OpenAlex

Caring for a child with cerebral palsy (CP) at home represents a major challenge and can have a significant impact on the caregiver’s physical and psychological well-being. Caregivers and professionals often feel uncomfortable with adolescents’ emerging behaviours. Adolescents’ need for privacy requires a certain level of independence to be achieved. However, the physical environment may cause problems in achieving the required degree of privacy. The main objective of this study was to explore and identify realistic, evidence-based solutions to promote independence and privacy in the bathroom for teenagers with CP. The authors used a two-stage co-design process: the conception of the design solution, followed by validation. The results of this project demonstrate the need to combine original technical aids and environmental settings to create a safe, hygienic environment for the user. The results can guide therapists in their clinical approach to designing washing facilities that meet the hygiene and psychological needs of other adolescents, adults and seniors with mobility impairments.

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)0.003
metaresearch head score (Gemma)0.002
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 score0.353
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0090.000
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.002
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 head0.129
GPT teacher head0.369
Teacher spread0.240 · 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

Citations3
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)Same topicAssistive Technology in Communication and MobilityFrench-language works237,207