Assessing the environmental and health impacts of plastic production and recycling
Bibliographic record
Abstract
Plastic production and recycling have become integral processes in modern society, but their environmental and health impacts have garnered significant attention in recent years. This review outlines key findings from a comprehensive assessment of these impacts, drawing from a range of scientific literature and empirical studies. The environmental footprint of plastic production encompasses various stages, from extraction of raw materials to manufacturing and distribution. These processes contribute to greenhouse gas emissions, energy consumption, and pollution of air, water, and soil. Additionally, plastic waste, particularly single-use items, poses a significant threat to ecosystems and wildlife, with marine environments being particularly vulnerable. While recycling is often promoted as a solution to mitigate the environmental impact of plastics, its effectiveness is limited by various factors. Challenges such as contamination, inadequate infrastructure, and low rates of collection and recycling hinder the potential benefits. Moreover, the recycling process itself can generate pollutants and emissions, albeit to a lesser extent than primary production. Beyond environmental concerns, the health implications of plastic use are increasingly recognized. Plastics contain additives such as phthalates and bisphenols, which have been linked to endocrine disruption, reproductive issues, and other health problems in humans and wildlife. Furthermore, the accumulation of microplastics in the environment raises concerns about potential bioaccumulation and transfer through the food chain, with implications for human health. Addressing the environmental and health impacts of plastic production and recycling requires a multifaceted approach, including reduction of plastic consumption, improvement of recycling infrastructure and technologies, development of alternative materials, and policy interventions to promote sustainable practices. This assessment highlights the complex interplay between plastic usage, environmental degradation, and public health, underscoring the need for concerted efforts to mitigate these challenges.
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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".