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Using a Knowledge Translation Lens to Develop International Collaborations to Improve the Health of Individuals With Intellectual Disabilities

2010· article· en· W1940422520 on OpenAlexaff
Hélène Ouellette‐Kuntz, Hilary K. Brown, Louise A. Baur, Robert Davis, Eric Emerson, Mike Kerr, Marijke Meijer, David M. O'Hara, Renée Proulx, Jonathan Perry, Jacqueline Small, Henny van Schrojenstein Lantman‐de Valk

Bibliographic record

VenueJournal of Policy and Practice in Intellectual Disabilities · 2010
Typearticle
Languageen
FieldMedicine
TopicDown syndrome and intellectual disability research
Canadian institutionsCentre de réadaptation Lethbridge-Layton-MackayQueen's University
Fundersnot available
KeywordsKnowledge translationIntellectual disabilityScope (computer science)Thematic analysisMultidisciplinary approachPsychologyAction (physics)Health careMedical educationPublic relationsTraditional knowledgeKnowledge managementPolitical scienceMedicineSociologyQualitative researchIndigenousSocial scienceComputer science

Abstract

fetched live from OpenAlex

Abstract This report describes the process used at the International Association for the Scientific Study of Intellectual Disabilities Health Issues Special Interest Research Group's 2009 Roundtable to increase awareness of the importance of, and opportunities for, knowledge translation to improve the health of individuals with intellectual disabilities (ID) through international collaboration. The “knowledge‐to‐action cycle” (i.e., knowledge translation) formed the basis for the roundtable discussions. The thematic areas discussed included identification and reduction of disability in adults who also have epilepsy, obesity in children and adults, adapting health promotion materials and approaches, and policy and practice healthcare management—all related to individuals with ID. The topics were explored, extant information presented, and agreements reached for further work and collaborations in each of the topic areas. It was noted that the roundtable's use of the knowledge‐to‐action framework helped the participants focus on bringing together existing knowledge in ways that can meaningfully influence policy and practice. A pre‐workshop web‐based forum allowed participants to share information and recognize the need for synthesis and tool development. Multidisciplinary working groups that are international in scope can be useful in continuing to work toward increasing awareness of the knowledge‐to‐action cycle and promoting collaborative health research in the area of health and ID.

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)0.431
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.428
Threshold uncertainty score0.856

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.431
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.174
GPT teacher head0.453
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.

Study designQualitative
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

Citations5
Published2010
Admission routes1
Has abstractyes

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