Actualization of methodological problems of reglamentation of chemical pollutions on the environment
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
There has been demonstrated a sharp increase of chemical pressing on the environment and human health, detection of hundreds of chemical compounds in different environmental objects, most of such chemicals have no hygienic standards. There are presented main disadvantages oKikuworks on the risks assessment of the impact ofpolluted environment on human health. There are indicated priority directions of the improvement of the analysis methodology and risk management, based on modern international achievements, as well as evaluation of detriments to the environment and human health with taking into account world systems as follows: AirQ (WHO), IEHIA and APHEIS (EU), FERET and EPA (USA), EAHEAP and COMEAP (GreatBritain), ECOSENSE (Germany), AirPack (EU, France), AQVM (Canada), and also domestic of TERA 2,5 (module EpidRisk). The integral evaluation of the scientific disciplines “Human Ecology”, “EnvironmentalHealth” and “EnvironmentalMedicine” is given. Comparative conceptual considertion of the terms “Environment”, “Habitat” and their international application is given.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it