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Record W2160328502 · doi:10.1177/0734242x10380493

Evaluating the Mexican Federal District’s integrated solid waste management programme

2010· article· en· W2160328502 on OpenAlex
Susan Wismer, Adriana Lopez de Alba Gomez

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.

Bibliographic record

VenueWaste Management & Research The Journal for a Sustainable Circular Economy · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicMunicipal Solid Waste Management
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsGovernment (linguistics)Solid waste managementMunicipal solid wasteEnvironmental planningBusinessSustainable developmentWaste managementEngineeringEnvironmental sciencePolitical science

Abstract

fetched live from OpenAlex

Generation of solid waste is a problem of great environmental significance in the Mexican Federal District. With an estimated daily generation of 12 500 tons, waste management is a priority for the district government. Integrated waste management programmes have been implemented in the Mexican Federal District in the past. They have failed. This research has examined the most recent initiative in an effort to discover the causes of failure, using a case study approach. In addition to identifying barriers to and opportunities for implementation of an effective integrated waste management system in the Federal District, this research recommends options for a newly proposed waste management system with the aim of achieving the objectives desired by the government, while aiding in the pursuit of sustainable development.

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)0.023
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.521
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0230.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0050.001
Scholarly communication0.0020.001
Open science0.0040.004
Research integrity0.0000.002
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 head0.062
GPT teacher head0.366
Teacher spread0.305 · 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