Bibliographic record
Abstract
Abstract Environmental health practice occurs within the context of physical, chemical, biological, social, and psychosocial processes in the environment that impact health, and actions to modify these factors to promote health for present and future generations. There are many professional disciplines and players in the environmental health practice arena, all of whom have important roles in the process. Environmental health practice is a three-phase process involving health impact assessment, policy development, and assurance that action is taken. Developing countries have a greater focus on prevention of infectious diseases and on efforts to reduce poverty, but their priorities are shifting along with economic transitions. Prevention of global environmental impacts is of increasing priority. Several international policy goals have been adopted in principle, including sustainable development, the precautionary principle, and the concept of ‘polluter pays’. Policy approaches include: Use of best available technology to control pollution, requirements for environmental impact reviews, consideration of economic impacts and equity (environmental justice), and ability to address issues across entire ecosystems. Assuring that policies are carried out largely depends on the strength of the rule of law in a country. Approaches include command and control, pollution prevention, and environmental monitoring. More recently, countries have increased the use of ‘right-to-know’ approaches. Environmental education plays an important role in strengthening the awareness and role of individuals. Increasingly, international agreements are being used to curb harmful environmental practices, for example, the Montreal Protocol to phase out ozone-depleting chemicals. Such global capacity building is occurring on a number of fronts, for example, control of greenhouse gases and management of chemical in commerce. The rapid pace of global change, including, population growth, economic globalization, natural resource depletion, and climate change, is creating challenges for environmental health practice, even as economic transitions are creating new opportunities in developing countries.
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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 | 0.006 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.264 | 0.066 |
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".