Opinions of parents and parents-to-be on micro- and nanoplastics: knowledge and willingness to implement change in Canada
Bibliographic record
Abstract
Macroplastics (and their degradation products) have been known to have an impact on the ocean and land environment for over 50 years. With the discovery of microplastics and nanoplastics in the human body, recent attention has focused on their potential health effects. Here, a survey was used to gauge the current state of knowledge about microplastics and nanoplastics and willingness to consider plastics-reduction actions in 300 expecting parents and/or parents/guardians of young children in Canada. In total, 79% of participants reported knowing what microplastics and nanoplastics are and 75% were aware of their significant impact on the environment. In contrast, knowledge of potential sources of human exposure to plastics (e.g., household products, food, drinking water) and knowledge about recent preclinical research findings was low. The majority of participants (98%) were willing to consider making at least one change to their homes or daily habits to reduce plastics exposure and participants who reported knowledge about microplastics and nanoplastics were more likely to consider multiple changes in behaviour. To facilitate environmental action, strategies (e.g., email communication, blog, documentaries, social media posts) are needed to improve public knowledge about the potential human health effects associated with microplastics and nanoplastics.
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 | 0.000 | 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 | 0.000 | 0.001 |
| 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".