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Record W1591830661 · doi:10.1111/cch.12249

Knowledge mobilization to spread awareness of the ‘<scp>F</scp>‐words’ in childhood disability: lessons from a family–researcher partnership

2015· article· en· W1591830661 on OpenAlexaffabout
Andrea Cross, Peter Rosenbaum, Danijela Grahovac, Diane Kay, Jan Willem Gorter

Bibliographic record

VenueChild Care Health and Development · 2015
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsMcMaster University
Fundersnot available
KeywordsGeneral partnershipBridging (networking)PsychologyTracking (education)Medical educationMedicinePedagogyComputer sciencePolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: In 2012, two CanChild researchers published an article in Child: Care, Health and Development titled 'The "F-words" in childhood disability: I swear this is how we should think!' Building on the World Health Organization's International Classification of Functioning, Disability and Health (ICF) framework, the article featured key strengths-based ICF themes (i.e. the 'F-words' - Function, Family, Fitness, Fun, Friends and Future). This paper reports on a knowledge mobilization initiative designed to spread awareness of the 'F-words' ideas. METHODS: Families and researchers collaborated to develop, disseminate and evaluate an online awareness video. The video used written descriptions, parents' reflections and their pictures, music and graphics to captivate the audience. Posted on the CanChild website in May 2014, information about the video was distributed via various dissemination strategies and evaluated by tracking its views and through an online survey. RESULTS: After a 2-month evaluation, there were 715 views and 137 survey responses. Of the survey responses, 89% lived in Canada, 55% had not previously heard of the 'F-words', 98% 'extremely liked'/'liked the ideas' and 88% indicated they would share the video. CONCLUSIONS: By creating a short and captivating video, we were able to spread awareness to a wide audience in a short period of time. Engaging families throughout the project was critical to the success of the video. By working together, we hope to continue bridging research and practice and moving the 'F-words' concepts forward one 'word' at a time.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.103
Threshold uncertainty score0.487

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 head0.089
GPT teacher head0.369
Teacher spread0.279 · 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

Citations21
Published2015
Admission routes2
Has abstractyes

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