Evaluating the effectiveness of Let’s Talk Period’s educational outreach for high school students
Bibliographic record
Abstract
Von Willebrand Disease, the most common bleeding disorder, is inherited equally by men and women, though bleeding symptoms are usually more evident in females due to their menstrual cycles and childbirth. The goal of developing a youth outreach project was to empower young female high school students with knowledge and resources about abnormal bleeding. The 75-minute presentation was given to five Grade 9 Girls’ Health classes across the Limestone District School Board, and led by a Hemophilia Nurse, supported by a Clinical Research Assistant and a 2nd year undergraduate student, who interacted with students and documented the presentation with photographs. Queen’s REB approved the project, and parental and student permission was obtained for photographs. Using Kahoot, an interactive online quiz program, students participated in short pre- and post-presentation quizzes to evaluate their knowledge and learning. Questions including "True/False: Iron deficiency is normal and expected among young females," were posed within the set of 9 questions on topics of anemia, menstruation, and abnormal bleeding. 84 students participated, aged 14 and 15, and 58 had evaluable quiz results. The results showed an average pre-presentation score of 77%, ranging from 72-83%, with a post-presentation quiz average of 92%, ranging from 83-95%. It was determined that students’ post-presentation scores were significantly higher (p<0.001) than those before the presentation, providing evidence for an increase in student understanding. Testing efficacy of these presentations can help determine their level of utility as a resource for health teachers to implement in their classrooms.
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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 | 0.007 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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; 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".