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Record W2980108072

Household hazardous waste: What is best practice?

2003· dissertation· en· W2980108072 on OpenAlexaboutno aff
Christine Teague

Bibliographic record

VenueMurdoch Research Repository (Murdoch University) · 2003
Typedissertation
Languageen
FieldEnvironmental Science
TopicMunicipal Solid Waste Management
Canadian institutionsnot available
Fundersnot available
KeywordsHazardous wastePromotion (chess)Household wasteBusinessHousehold hazardous wasteEnvironmental healthPublic relationsPolitical scienceMedicineEngineeringWaste collectionWaste managementMunicipal solid wastePolitics
DOInot available

Abstract

fetched live from OpenAlex

In Western Australia there have previously been very limited attempts to deal with the issue of household hazardous waste (HHW). This report presents the findings of a worldwide literature review to determine “best practice” in the collection of household hazardous waste. The Waste Division of the Department of Environment Western Australia determined the need for this review, to assist in developing their strategies to deal with the problematic household hazardous waste stream. 
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\nThis research initially examined the legislative framework for the management of HHW within Australia, and overseas in Europe, United Kingdom (UK), New Zealand, Canada, United States, Africa, Asia, Hong Kong, Singapore, China and Japan. The research then focused on identifying and analysing the existing HHW collection systems within Australia and overseas, the collection methods that were used and the costs incurred. The research identified that countries where separate collections of HHW are organised, usually rely on a combination of methods to collect the HHW. 
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\nExamination of the literature identified the costs of collecting HHW varied considerably between different countries and the various identified programs. During the research, it also became evident that a number of interesting initiatives for specific items of HHW were being undertaken, such as the Community RoPaint Program in the UK. 
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\nEducation and promotion programs for the collection of HHW were also reviewed during the research, and it was apparent that the success of any HHW collection program is largely dependent on educating the public using all forms of media.

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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, 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: Other · Consensus signal: Other
Teacher disagreement score0.146
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0020.003
Open science0.0030.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.002

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 head0.041
GPT teacher head0.302
Teacher spread0.261 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2003
Admission routes1
Has abstractyes

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