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Record W2892315608 · doi:10.17648/rsd-v7i8.382

Resíduo Urbano em Portugal – Uma Análise dos Resíduos Plástico

2018· article· pt· W2892315608 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueResearch Society and Development · 2018
Typearticle
Languagept
FieldEnvironmental Science
TopicMunicipal Solid Waste Management
Canadian institutionsnot available
FundersFederation for the Humanities and Social Sciences
KeywordsHumanitiesGeographyPolitical sciencePhysicsArt

Abstract

fetched live from OpenAlex

O presente artigo trata das políticas públicas no tratamento e destino correto do resíduo plástico em Portugal, e as consequências que estes resíduos podem provocar nos mares a onde é o destino de grande parte depois do uso. O plástico em Portugal é um dos itens com menor índice de reciclagem nas cinco características dos resíduos domésticos urbanos, ficando atrás de muitos países da Comunidade Europeia que possuem um índice superior a 42% apresentado pelos Portugueses, conforme Ponto Verde, 2018. O artigo também direciona o melhor tratamento destes resíduos e como deve ser aproveitado para gerar emprego e renda a milhares de pessoas, ao invés de ser destinado a aterros sanitários ou jogado nos mares através dos rios.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.126
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.002
Scholarly communication0.0010.000
Open science0.0010.005
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.004

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 head0.098
GPT teacher head0.355
Teacher spread0.257 · 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