Assessment of a radioecological situation in Azerbaijan, based on spectral analyses of radionuclides
Bibliographic record
Abstract
Radioecological research studies – that is, studies about radioactivity – in the Absheron Peninsula, Azerbaijan, were launched in 1930–1932, initially based on samples taken from soil, water and underground water. It was determined that the main cause of the radioactive pollution in the area is not limited to the effects of radioactive isotopes of natural origin. Rather, pollution takes place also due to the contamination of oilfields driven by technogenic processes and the contact of water solutions of different mineralisation types with rocks and oilfields. However, complete exploration of the area in those times was not possible because of lack of modern equipment and devices and new technologies. It should be noted that despite the critical ecological situation prevalent in the Absheron Peninsula, no comprehensive studies have been conducted on the radiation level of the area and the diminishing of possible radiation risk among the population living and working in the nearby areas. In this paper, the regularities of the distribution of the radiation background in the territory of the Absheron Peninsula were analysed and the most dangerous areas in terms of dwelling and operating were identified with proposal of necessary measures towards such areas. Moreover, the changing of the radioactive background in relationship with the age and type of soil was determined for the first time based on laboratory analysis of samples taken from the area and the fieldworks conducted. In this paper, the radiation background of the Absheron Peninsula was studied, thus determining not only the areas with an average value of the radiation background at 8.5 μR/h but also the areas where it equalled 400–600 μR/h – that is, the dangerous levels for living and working.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 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".