Bromine Content Differentiates between Construction and Packaging Foams as Sources of Plastic and Microplastic Pollution
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Plastic foams are used to make food packaging, consumer product protective packaging, and building insulation materials–each of which are reported in the environment. This study investigated the contributions of construction and packaging applications to foam plastic litter using visual characteristics and the presence of bromine (Br) from flame retardants as an identifying signature. A foam source library of 86 examples that included building materials and packaging demonstrated that 96% of building materials contained Br while only 5% of foam packaging did, as measured by hand-held X-ray fluorescence (XRF) spectrometry. The XRF enabled the detection of Br in particles down to 1 mm in size, enabling both macro- and microplastic foams to be quantitatively assessed for the relative contributions of construction-based activities and packaging sources to the abundance of foam found on Toronto-area beaches, in tributaries, and in Lake Ontario waters adjacent to Toronto. Beach and surface water surveys revealed 58% and 51% of samples, respectively, contained concentrations of Br consistent with construction foams. This significant proportion highlights a need for greater attention toward the management of construction foam waste, for example, developing and implementing best management practices at active sites to prevent foam litter from entering the environment.
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.
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 | 0.000 |
| 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 it