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Record W1587294180 · doi:10.31542/j.ecj.140

Hoarding plastic waste: Buried alive

2013· article· en· W1587294180 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueEarth Common Journal · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicMicroplastics and Plastic Pollution
Canadian institutionsMacEwan University
Fundersnot available
KeywordsPlastic wasteBusinessProcess (computing)Waste streamForensic engineeringWaste managementEngineeringRisk analysis (engineering)Computer science

Abstract

fetched live from OpenAlex

Plastic is a ubiquitous part of our everyday lives. Popular for its versatility, it can be attributed to the creation of the numerous conveniences we enjoy in contemporary society. However, traditional plastic does not break down and thus has also become ubiquitous within the environment, and the mounting consequences to its extensive use is being seen. Recycling provides a degree of relief in our efforts to address this problem and can be a boost to the economy but there are barriers that reduce the effectiveness of this solution. In addition to the complex and arduous process of separating and preparing different plastics for recycling, many plastics never reach recycling facilities. But even more common is the inability of many facilities to handle most types of plastics. Biodegradable plastics have been introduced to address this issue. However, bio-plastics also have proven failings, one of which is the damage they cause within the traditional recycling stream and concerns over increased littering. With the ever- accumulating material now reaching almost every part of the earth, governments must consider changing the laws to regulate the plastics we allow in our country before the earth is buried under the remnants our conveniences.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.552
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0160.005

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 head0.007
GPT teacher head0.190
Teacher spread0.183 · 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