History of the Hydrometeorological Service of Belarus
Bibliographic record
Abstract
Abstract The first weather observations within the modern territory of Belarus go back to ancient times and are found as mentions of weather conditions in chronicles. Hydrometeorology in those times was not a defined science but connected to the everyday needs of people in different regions. In the period from 1000 to 1800, there were first efforts to document outstanding weather conditions and phenomena. They are stored in chronicles, books, and reports. The first instrumental observations started in the early 1800s. They have varying observing practices and periods of observations. The hydrometeorological network saw the active expansion of observations in the following century, but the network was destroyed at the beginning of the civil war (1917–1922). Five years later, hydrometeorological activity resumed, and the foundation of meteorological services of the Russian Soviet Federal Socialist Republic (RSFSR) was initiated. The next years saw a complicated Belarusian hydrometeorological service formation and reorganization. The meteorological bureau was formed in 1924, and this year is considered the official date of the Hydrometeorological Service of Belarus foundation, despite multiple changes in title and functions during its course. During the Great Patriotic War (1941–1945) people’s courage and efforts were directed to saving the existing network of hydrometeorological observations and providing weather services for military purposes. The postwar period was characterized by the implementation of new methods of weather forecasting and new forms of hydrometeorological information. Later decades were marked by the invention and implementation of new observational equipment. The Hydrometeorological Service of Belarus in this period was a testing ground within the Soviet Union for the development of meteorological tools and devices. The current Hydrometeorological Service of Belarus is described as an efficient, modern-equipped, and constantly developing weather service.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".