Bibliographic record
Abstract
Introduction: Assess a new patient education resource to be used by the Rehabilitation Centre located at Saskatoon City Hospital.Description: The Rehabilitation Centre (Rehab Centre) approached the Medical Library about providing assistance with patient education materials, and the Library agreed to create and manage an online patient education resource.The Rehab Centre provides inpatient and outpatient services in the Saskatoon Health Region (SHR) to clients over the age of 14 who have physical impairments.Current patient education in the Rehab Centre includes print material and verbal instruction from appropriate health professionals.Outcomes: The structure and contents of the resource are being guided by discussions with stakeholders in the Rehab Centre.Once complete the Rehab Centre and the Library will promote the resource, and volunteers will introduce it to inpatients during one-on-one information-seeking appointments.In addition to tracking the usage data collected for the online resource, we will be able to use information collected by a user satisfaction survey that will be conducted before and after changes are made to the Rehab Centre's patient education practices.Feedback will also be sought from the volunteers introducing the resource to the clients, as well as from the health professionals in the Rehab Centre.Discussion: This project is at the very early stages and there are no results to report.There is interest in other areas of SHR for assistance with patient education materials; as a result we will be able to apply the knowledge gained from this project in future efforts.
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 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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.393 | 0.171 |
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; the direct Gemma label and the distilled Codex classifier 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".