CSHP Summer Educational Sessions (SES) 2010: Poster Abstracts / Séances éducatives d’été (SÉÉ) 2010 de la SCPH : Résumés des affiches
Bibliographic record
Abstract
1. Medication Safety on the Savannah: Application of Patient Safety Principles to a Mobile Medical Clinic in Northern Ghana 2. Descriptive Analysis of Heart Failure Medication Usage in a Specialized Cardiac Function Clinic 3. Attitudes and Behaviors of Hospital Pharmacy Staff towards Near Misses 4. Development of a "Do Not Crush or Chew These Oral Dosage Forms" Chart 5. Perceived Somatic Symptoms and Aspects of Asthma Management by Analyzing Coloured Drawings Made by Chronic Asthmatic Children 6. Development of Culture-Specific Pictograms for the Labeling of Medication 7. Development of Culture-Specific Pictograms for Type-II Diabetes Patient Counseling 8. Validation of a Set of Asthma Illustrations in Children with Chronic Asthma in the Emergency Department 9. Interaction between Warfarin and Mirtazapine Resulting in Increased INR: A Case Report 10.Implementation of Medication Order Writing Standards 11.Fentanyl Patches: Analysis of International Medication Incidents 12. Analysis of Medication Incidents in Ontario 13.Medication Incidents Involving Cancer Chemotherapy Agents 14. Identification of Medication Safety Indicators in Acute Care Settings for Public Reporting in Ontario
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.252 | 0.047 |
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".