High incidence of concussion, but low knowledge levels among young adults
Bibliographic record
Abstract
Cerebral concussion is a brain injury, that involves a complex pathophysiological process that affects the brain as a result of biomechanical forces. With the increasing prevalence, it is important that the public is knowledgeable about concussion and its symptoms, so that they can bring attention to individuals with concussion symptoms soon after onset, for appropriate care. The aim of this study was to determine the knowledgeability of young adults. Secondary aims were to compare the knowledgeability of young adults of different age, of different countries of residence, of different sex, and of different perceived knowledge about concussions. An online survey was circulated to young adults in Canada, the US and the UK. The survey consisted of three components - a consent form, respondent demographics and eight questions to assess each respondent's knowledgeability of concussions. The knowledgeability of each respondent was determined by the summation of the number of correct responses to the knowledge questions. A total of 307 respondents consented and completed the survey in its entirety. The mean knowledge score was 4.25 out of 8. None of the cohort analyses based on demographics - 19 years old and under vs. 20 years and older; North Americans vs. non-North Americans; females vs. males - suggested that one group was more knowledgeable than the other group. These results suggest that educational programs can be developed to increase awareness of concussions. As each cohort seems to have similar starting knowledge levels, it seems appropriate to develop a uniform program to first try to increase knowledgeability, and then produce specialised programs to raise knowledge of certain cohorts. However, prior to the establishment of programs, further studies should be conducted to verify the results disclosed herein.
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".