SWAHN Southwestern Academic Health Network Conference 2017 : the Patient Voice & Experience in Southwestern Ontario
Bibliographic record
Abstract
The conference, held at Western University in London, Ontario, was a full-day event that included presentations based on its theme: The Patient Voice and Experience in Southwestern Ontario. The day began with a two-part presentation featuring Health Quality Ontario’s patient partnership framework, delivered by Jennifer Schipper, Health Quality Ontario’s Chief of Communication and Patient Engagement. Dr. Gillian Kernaghan, President and CEO of St. Joseph’s Health Care London (and Co-Chair of SWAHN) then shared her organization’s care partnership that has involved the contributions of patients, residents, families, and caregivers.\nOther presentations included a personal story shared by Mr. Wayne Kristoff who was engaged as a patient in a research study for diabetics at the Lawson Health Research Institute. This was followed by Dr. Shannon Arntfield’s presentation on the value that practicing narrative medicine offers to both health care providers and their patients. The morning session concluded with a special theatrical production that explored the Indigenous patient experience.\nIn the afternoon, breakout sessions on patient partnerships and the Indigenous patient experience were held, sparking discussion among participants. Following the conference, various themes were identified based on an analysis of the various breakout group discussion notes and participant evaluations. The following key learning points were identified by participants both during the group discussions and through the conference evaluation forms.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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; both teacher heads agree on what is shown here.
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".