Bibliographic record
Abstract
2021 is a jubilee year for the Museum of Nature of the RSE “Gylym Ordasy” of the Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan, April 15 marks the 60th anniversary of its foundation. Since the creation of the zoology sector from 1932 to 1958, scientists of the Institute of Zoology of the Academy of Sciences of the Kazakh SSR have collected and studied a variety of scientific material about the fauna of Kazakhstan. These collections of the remains of ancient prehistoric animals, collected by paleontologists and geologists in the Turgai, Zaisan depressions and in Central Kazakhstan in 1948-1957, gave the idea for the creation of the museum. The first president of the Academy of Sciences of the Kazakh SSR, academician K.I.Satpayev, timely supported this initiative. Since 1959, the museum began to receive its first visitors and gradually gained wide popularity far beyond the borders of the republic. The official opening of the museum, in accordance with the Decree of the Presidium of the Academy of Sciences of the Kazakh SSR dated April 29, 1961, No. 44, was timed to coincide with the 40th anniversary of the Kazakh SSR. The main goal of the museum is to popularize the fauna of Kazakhstan from the simplest to highly organized creatures, from the most ancient geological eras to the present day. After a long break (2006 - 2010) associated with the renovation of the building of the Academy of Sciences and the dismantling of all expositions, in 2010 the Museum of Nature returned to its former place as part of the museum complex of the RSE “Gylym Ordasy” of the Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan. The exposition has been restored, updated and replenished with new unique exhibits.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.204 | 0.094 |
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".