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Record W2183263616

A survey of PBDEs in recycled carpet padding

2011· article· en· W2183263616 on OpenAlexaboutno aff
Joseph DiGangi, Jitka Strakova, Alan Watson

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicToxic Organic Pollutants Impact
Canadian institutionsnot available
Fundersnot available
KeywordsBromineEnvironmental scienceFire retardantPaddingWaste managementConventionEnvironmental protectionEnvironmental chemistryChemistryEngineeringLawMaterials sciencePolitical science
DOInot available

Abstract

fetched live from OpenAlex

Polyurethane foam containing brominated flame retardants is recycled in some countries to make products such as foam padding for carpets (known as rebond). The Stockholm Convention Persistent Organic Pollutants (POPs) Review Committee raised concerns about the practice since brominated flame retardants listed in the treaty could be carried over and diluted into the recycled products contributing to further human and environmental exposure. Recycled foam carpet padding from Canada, Hungary, Kyrgyzstan, Nepal, Thailand, and USA was screened using handheld XRF for bromine and analyzed in the laboratory for polybromodiphenyl ethers (PBDEs). Bromine was not detected at significant levels in samples from Nepal, Kyrgyzstan, and Thailand. Laboratory analysis of 26 samples from Canada, Hungary, and USA found that twenty-three samples contained at least one PBDE listed in the Stockholm Convention (88%) with levels ranging from 1 – 1130 ppm. The results raise concerns about recycling materials containing flame retardants which results in worker and consumer exposure to substances listed in the Stockholm Convention for global elimination, particularly for children crawling on carpeted floors. To our knowledge, this is the first publically available investigation of PBDEs in carpet foams which may contain recycled materials.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.051
GPT teacher head0.248
Teacher spread0.197 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations9
Published2011
Admission routes1
Has abstractyes

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