Bibliographic record
Abstract
Abstract Air quality is an issue of general, global interest, which requires the implementation of appropriate environmental policies, taking into account the essential connection between the world economy and the environment. Air is an important natural element of the environment, vital for human life and health, as well as for fauna and flora, and it needs to be protected by all means, including legal methods. Lately, scientific studies and researches have shown that the chemical structure of the atmosphere is changing for natural or anthropogenic causes, which requires more effective monitoring of the impact of human activity on the atmosphere, doubled by the implementation of radical measures, including legal ones, meant to insure the protection of this environmental element. The increase in the quantity of polluting gases eliminated into the atmosphere causes global warming, destroying the ozone layer and generating other imbalances in the natural environment. In these conditions, and since pollution knows no political-administrative borders, being a global phenomenon, there is an absolute need for international cooperation based on conventions and treatises on this topic, or directives from international bodies and organisations, and at a national level, the environmental legislation must aim to protect the air in the troposphere as well as the other elements outside the troposphere, such as the ozone layer, which is part of the stratosphere.
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 | 0.031 | 0.048 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.015 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.027 | 0.018 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".