Plastic Legacies: Pollution, Persistence, and Politics
Bibliographic record
Abstract
There is virtually nowhere on Earth today that remains untouched by plastic and ecosystems are evolving to adapt to this new context. While plastics have revolutionized our modern world, new and often unforeseen effects of plastic and its production are continually being discovered. Plastics are entangled in multiple ecological and social crises, from the plasticization of the oceans to the embeddedness of plastics in political hierarchies.\n\nThe complexities surrounding the global plastic crisis require an interdisciplinary approach and the materialities of plastic demand new temporalities of thought and action. Plastic Legacies brings together scholars from the fields of marine biology, psychology, anthropology, environmental studies, Indigenous studies, and media studies to investigate and address the urgent socio-ecological challenges brought about by plastics. Contributors consider the unpredictable nature of plastics and weigh actionable solutions and mitigation processes against the ever-changing situation. Moving beyond policy changes, this volume offers a critique of neoliberal approaches to tackling the plastics crisis and explores how politics and communicative action are key to implementing social, cultural, and economic change.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.032 |
| Scholarly communication | 0.014 | 0.008 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 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".