Think Global, Act Local: Local Knowledge Is Critical to Inform Positive Change When It Comes to Microplastics
Bibliographic record
Abstract
ADVERTISEMENT RETURN TO ISSUEPREVViewpointNEXTThink Global, Act Local: Local Knowledge Is Critical to Inform Positive Change When It Comes to MicroplasticsChelsea M. Rochman*Chelsea M. RochmanDepartment of Ecology and Evolutionary Biology, University of Toronto, Toronto, Ontario M5S3B2, Canada*Email: [email protected]More by Chelsea M. Rochmanhttp://orcid.org/0000-0002-7624-711X, Keenan MunnoKeenan MunnoDepartment of Ecology and Evolutionary Biology, University of Toronto, Toronto, Ontario M5S3B2, CanadaMore by Keenan Munnohttp://orcid.org/0000-0003-2916-5944, Carolynn BoxCarolynn Box5 Gyres Institute, Los Angeles, California 90016-3107, United StatesMore by Carolynn Box, Anna CumminsAnna Cummins5 Gyres Institute, Los Angeles, California 90016-3107, United StatesMore by Anna Cummins, Xia ZhuXia ZhuDepartment of Ecology and Evolutionary Biology, University of Toronto, Toronto, Ontario M5S3B2, CanadaMore by Xia Zhuhttp://orcid.org/0000-0002-5610-9625, and Rebecca SuttonRebecca SuttonSan Francisco Estuary Institute, Richmond, California 94804, United StatesMore by Rebecca SuttonCite this: Environ. Sci. Technol. 2021, 55, 1, 4–6Publication Date (Web):December 9, 2020Publication History Received26 August 2020Published online9 December 2020Published inissue 5 January 2021https://pubs.acs.org/doi/10.1021/acs.est.0c05746https://doi.org/10.1021/acs.est.0c05746article-commentaryACS PublicationsCopyright © 2020 American Chemical Society. This publication is available under these Terms of Use. Request reuse permissions This publication is free to access through this site. Learn MoreArticle Views4363Altmetric-Citations14LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail PDF (2 MB) Get e-AlertscloseSUBJECTS:Contamination,Fibers,Morphology,Plastics,Wastewater Get e-Alerts
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 | 0.002 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.013 |
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; both teacher heads agree on what is shown here.
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".