Primer Simposio Internacional de Calidad en Salud, Cuba, 2019. Espacio de intercambio y superación profesional
Bibliographic record
Abstract
From March 27 to 29, 2019, the First International Symposium on Quality in Health was held, with headquarters at the La Pradera International Health Center, Havana, Cuba. The Symposium was attended by more than 180 professionals, including delegates from countries such as Canada, Peru, Colombia and Ecuador. The event was honored with the presence of Dr. Michael Murray, member of the Accreditation Council of the Isqua and the Accreditation Program of Canada, who gave the conference Continuous improvement and excellence in services and developed a work program. Books were delivered and specialized visits were made to health institutions in the capital. The First International Symposium on Quality in Health was an appropriate occasion to call for participation in the First National Colloquium on Quality and Patient Safety, to be held next year (2020) and the Second International Symposium on Quality in Health in the year 2022.
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 | 0.014 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 0.011 |
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".