Knowledge exchange for Attention Deficit Hyperactivity Disorder Research: an integrated evidence and knowledge exchange framework leading to more effective research dissemination practices.
Bibliographic record
Abstract
INTRODUCTION: Knowledge Exchange refers to activities that help to create and support the conditions and culture that lead to the most effective access, implementation, utilization, and evaluation of the most credible evidence for improved mental health outcomes for children and youth in Ontario. Although knowledge exchange and associated concepts such as knowledge transfer and translation are increasingly well developed in other aspects of health and healthcare, it is underdeveloped in mental health generally. This paper introduces some of the basic concepts of knowledge exchange and calls for more development of knowledge exchange in the area of Attention Deficit Hyperactivity Disorder Research. METHODS: This is a discussion paper that presents a general overview of the Centre's approach to knowledge exchange. It links the discussion to related concepts and to the need to overcome the research to practice gap. The Integrated Evidence and Knowledge Exchange Framework of the Provincial Centre of Excellence for Child and Youth Mental Health is introduced. Areas of active development in knowledge exchange are categorized into three objectives: context, content, and capacity. RESULTS: The use of an Integrated Evidence and Knowledge Exchange Framework for the Centre's Grants and Awards program activities and evaluation has begun to explicitly and transparently link the evidence on effective knowledge exchange with the evidence on effective treatment for children and youth with mental health difficulties including ADHD. This framework is expected to produce greater transparency as well as improved attainment of outputs, outcomes, and impacts of these grants and awards in child and youth mental health. CONCLUSIONS: Knowledge exchange activities may reduce the confusion for parents & care-givers, practitioners, researchers, and administrators, seeking the most credible data, information and knowledge about the most effective treatments for ADHD. An active process that seeks to improve knowledge exchange for ADHD is needed.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.351 | 0.296 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.019 | 0.014 |
| Science and technology studies | 0.010 | 0.026 |
| Scholarly communication | 0.027 | 0.030 |
| Open science | 0.009 | 0.035 |
| Research integrity | 0.016 | 0.013 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".