INTERNATIONAL MEDICAL FORUM “UKRAINIAN AND GLOBAL MEDICINE: BASICS, REALITY, AND STRATEGIC PROSPECTS”
Bibliographic record
Abstract
From December 13 to 15, 2023, the International Medical Forum (IMF) “Ukrainian and Global Medicine: Basics, Reality, and Strategic Prospects” was held successfully. Within the framework of this forum, the 12th Christmas Readings on Immunology and Allergology were held. The event was dedicated to the 150th anniversary of the Shevchenko Scientific Society (SSS), the 125th anniversary of the Medical Commission of the SSS, and the 25th anniversary of the Department and Center of Clinical Immunology and Allergology. Event hosts were the Medical Commission of the Shevchenko Scientific Society and Danylo Halytsky Lviv National Medical University. Despite difficult times for Ukraine, the event did not lose its leadership positions in terms of the number of speeches and the diversity of the agenda, and the vast geography of speakers and specialist attendees distinguished it. More than 400 speakers, about 1,000 listeners, and more than 1,200 online participants participated in the event. During three days, international experts from the USA, Canada, UK, Italy, Spain, Denmark, Slovakia, Sweden, Germany, Austria, and Poland, and leading scientists and experts for Ukraine delivered more than 300 speeches.
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 | 0.007 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.017 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".