The Potential Impact of Climate Change on the Diffusion of Plastic Waste in the Ocean
Bibliographic record
Abstract
In recent years, global climate change and marine plastic pollution have become serious threats to the Earth's ecosystem and human society. Climate change has led to rising temperatures, rising sea levels, and an increase in extreme weather events, and the spread of plastic waste in the ocean has become a global problem, posing a threat to marine ecosystems and biodiversity. This study introduces the concept of climate change and focuses on exploring its direct impact on the marine environment, including factors such as rising seawater temperature, changes in ocean circulation, and acidification; discussed how climate change affects the distribution and decomposition of marine plastic waste. At the same time, this study delves into the potential impact of climate change on plastic waste in the ocean, from the negative impacts of climate change on marine ecosystems, including threats to biodiversity and disruptions to the food chain. Understanding this relationship is crucial for taking effective measures to reduce plastic pollution in the ocean. This not only provides a reliable basis for research on marine ecological environment, but also brings deeper insights into human health and sustainable development.
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 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 | 0.002 | 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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".