An examination of concussion education programmes: a scoping review methodology
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: The primary purpose was to review the literature on concussion education programmes. The secondary purpose was to inform knowledge translation strategies for concussion researchers and practitioners. DESIGN: Research on concussion education programmes is relatively new. As a result, the current study implemented a scoping review methodology, which is a type of literary search used to provide a preliminary assessment of the size and scope of a body of literature, as well as identify strengths, weaknesses and gaps in the research. METHODS: A five-stage process for conducting a scoping review was followed for this study: (a) identifying the research questions, (b) identifying relevant studies, (c) identifying the study selection criteria, (d) charting the data and (e) reporting the results. RESULTS: Concussion education programmes have been developed and implemented with populations ranging in age from 9 to 49 years and have used interactive oral presentations, educational videos and computer-based learning programmes. Although the content of these programmes varied, the topics generally addressed salient aspects of concussion injury and recovery. Quantitative instruments have been the preferred methods for assessment. CONCLUSIONS: Education programmes aimed at improving participants' long-term concussion knowledge, behaviours and attitudes of concussions are needed. Researchers must consider using a knowledge translation framework to enhance concussion education programmes. The application of such a framework can lead to novel and interesting ways of disseminating information about concussive injury and recovery.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it