RE-AIMing conferences: evaluating the adoption, implementation and maintenance of the Rick Hansen Institute’s Praxis 2016
Bibliographic record
Abstract
BACKGROUND: In April 2016, the Rick Hansen Institute (RHI) hosted an innovative, 2-day conference called Praxis 2016. RHI aimed to bring together a diverse group of stakeholders to develop solutions for overcoming the challenges of translating spinal cord injury (SCI) research into practice. To understand the impact of Praxis, RHI funded an independent team to evaluate Praxis at the individual and setting level using the RE-AIM framework. Individual-level findings are published elsewhere. The aim of this evaluation is to report on the impact of Praxis at the setting level in terms of its adoption, implementation and maintenance. METHODS: Data sources included interviews with attendees (n = 13) and organisers (n = 9), a fidelity assessment conducted at the conference, and observation notes provided by the evaluation team. RESULTS: Main findings indicated that the Praxis model was adopted by organisers and attendees, implemented by RHI as intended, and has the potential for long-term maintenance. Lessons learned highlighted the importance of including SCI community members throughout the entire process from development to post-conference activities as well as in the research process, the value of facilitation and fostering interactive problem solving, and the need to identify leadership and funds to foster long-term efforts. CONCLUSIONS: Developing and implementing a solutions-focused conference that brings together a diverse group of SCI stakeholders was challenging and rewarding for attendees and organisers. Other domains could learn from, adopt and build on the Praxis 2016 approach to address research-to-practice gaps.
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 | 0.122 | 0.161 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.004 | 0.011 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".