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Record W6999369017

Co-Designing Video Welcome Tours with Children in Paediatric Healthcare

2021· other· en· W6999369017 on OpenAlexfundno aff

Bibliographic record

VenueOCAD University Open Research Repository (OCAD University) · 2021
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersBloorview Research Institute
KeywordsHealth careBest practiceHealth professionalsProcess (computing)PopulationSpace (punctuation)RehabilitationSick child
DOInot available

Abstract

fetched live from OpenAlex

Best practices in sharing information with children is scarce in a healthcare environment, and there is limited literature that involves children as co-designers of their own information. To demystify the hospital space for child clients and their families, a co-design project was conducted and designed with two research questions: (1) How can paediatric hospitals produce meaningful information designed by children, for children? (2) What are some best practices for co-designing with children with disabilities in healthcare settings? This study’s aim was to produce a video tour of Holland Bloorview Kids Rehabilitation Hospital that is co-designed by children in the disability community, for children in the disability community. The ability to assess the co-design process reflexively helped to identify practices that can inform and guide similar paediatric co-design in the future. The need for projects that are co-created and accessible online have risen. Co-created healthcare projects that centre the voices of the young disability community are feasible, applicable, and impactful, and this population should not be overlooked or unrecognized. Through this study, a template and resources are provided for healthcare systems to easily implement their own unique co-design sessions with young participants.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.815
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0090.010
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0060.002
Research integrity0.0010.004
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 head0.049
GPT teacher head0.308
Teacher spread0.259 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2021
Admission routes1
Has abstractyes

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