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Record W2329197943 · doi:10.3109/17518423.2016.1141254

“Ready to take on the world”: Experiences and understandings of independence after attending residential immersive life skills programs for youth with physical disabilities

2016· article· en· W2329197943 on OpenAlexafffund
Amy C. McPherson, Alanna E. F. Rudzik, Shauna Kingsnorth, Gillian King, Jan Willem Gorter, Andrea Morrison

Bibliographic record

VenueDevelopmental Neurorehabilitation · 2016
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsMcMaster Children's HospitalHolland Bloorview Kids Rehabilitation HospitalMcMaster UniversityToronto Rehabilitation InstituteUniversity of Toronto
FundersHolland Bloorview Kids Rehabilitation Hospital FoundationMcMaster University
KeywordsIndependence (probability theory)PsychologyAssistive technologyMedical educationApplied psychologyDevelopmental psychologyGerontologyMedicineComputer science

Abstract

fetched live from OpenAlex

STATEMENT OF PURPOSE: Life skills programs aim to equip youth with physical disabilities with the foundational skills required for adulthood. This study explored the perceived impact of residential immersive life skills (RILS) programs on the lives of participants. METHODS: Qualitative interviews were conducted with alumni of three RILS programs. Data were thematically analyzed using a phenomenological approach. RESULTS: Themes identified from fourteen interviews were: (1) enhancing higher-order skills; (2) new notions of independence; and (3) identity change, empowerment, and advocacy. Opportunities to learn and practise a variety of skills in a structured, facilitative environment led to increased competence and motivation to engage in independent activities. Engaging with peers undergoing similar experiences also helped some youth integrate disability into their identity. CONCLUSIONS: Providing youth with physical disabilities opportunities to engage with others sharing similar experiences and challenges is essential. The study contributes toward the development of evidence-based best practices for life skills programs.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score0.308

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.025
GPT teacher head0.273
Teacher spread0.249 · 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 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

Citations28
Published2016
Admission routes2
Has abstractyes

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