The University of Ottawa Healthcare Symposium (UOHS) 2025 Pitch-O-Rama: Undergraduate Elevator Pitch Research Competition
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
The University of Ottawa Healthcare Symposium (UOHS) is an undergraduate conference that highlights the role of interdisciplinary collaboration in healthcare. Now in its fifteenth year, UOHS brings together students and researchers from fields such as biomedical sciences, engineering, health policy, and digital health to explore current challenges and advancements in healthcare. The conference provides a platform for discussions on emerging technologies, healthcare delivery, and the integration of research into clinical practice. As part of the symposium, Pitch-O-Rama challenges students to present their research in a concise and engaging way. Participants explain the significance of their work in a short elevator pitch, demonstrating how their research contributes to healthcare innovation. Judges evaluate presentations based on clarity, originality, interdisciplinary impact, scientific rigour, and the ability to address a meaningful knowledge gap. The competition allows students to practice effective science communication and consider how their work connects with broader healthcare challenges. This abstract book features the top submissions from the 2025 competition, highlighting research from undergraduate students across various disciplines. For more details about UOHS and Pitch-O-Rama, please visit https://www.uohs-csuo.com/.
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 | 0.013 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.004 |
| 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