An Innovation Challenge to Stimulate Student Interest in Geriatric Health Technologies
Bibliographic record
Abstract
Canada’s aging population has created significant challenges in geriatric health care, increasing the demand for innovative technological solutions. This paper describes the design and implementation of a weekend-long, interdisciplinary hackathon designed to stimulate student interest in creating technology-based solutions for geriatric health care. Students were presented with the problem of detecting and preventing hospital-induced delirium and provided opportunities to speak with stakeholders from a local hospital throughout the event. In total, 62 students attended the event, 51 from engineering or tech-related programs and 11 from health. Five of the 13 teams of 4-5 students included at least one health student. Of the five problem spaces identified by the activity designers, the majority of groups focussed on patient risk factor monitoring. Overall, the event was judged as a success. Students built functional solutions guided by pre-prepared resources and interactions with key stakeholders including geriatric doctors and volunteers from the hospital elder life program. Planning is underway for the next iteration of the challenge.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".