Investigating the Temporal Dynamics of Abandoned COVID-19 Face Masks in a Tidal and Flood-Prone Canadian Town at the Peak of the Pandemic
Bibliographic record
Abstract
Face masks used during the COVID-19 pandemic are composed of polymers which when broken down release microplastics to the environment. As part of the most extensive monitoring program of COVID face mask littering ever undertaken for a coastal community, 50 parking lots in the town of Truro, Nova Scotia were surveyed for half a year (November 2021-April 2022). A total of 3,036 discarded or lost face masks were retrieved, with abandonment being consistent through time but for the notable exception of a period of rapid melting that released masks which had been damaged by snow removal maintenance. Qualitative observations and mark-and-recapture experiments indicated parking lots to be sources of litter dispersed to the wider environment. Interpolating these data on loss rates suggests that each of the 25,583 residents of Truro are estimated to have abandoned five face masks in parking lots during the 20 months of the peak pandemic. Expanding these results to the population of a quarter of a million people living around the Bay of Fundy, and using the known material composition of face masks, produces an estimate of 2,822 kg of pandemic plastic waste being generated with the potential to decompose and release microplastics over subsequent years into the Bay of Fundy, a designated World Heritage Site.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".