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Record W6993276425

Australasia

2011· article· en· W6993276425 on OpenAlexaboutno aff

Bibliographic record

VenueRMIT Research Repository (RMIT University Library) · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicPhosphorus and nutrient management
Canadian institutionsnot available
Fundersnot available
KeywordsWastewaterSewage treatmentLegislationConsumption (sociology)Sustainable managementEnergy consumptionSustainable developmentRelation (database)Sewage sludge
DOInot available

Abstract

fetched live from OpenAlex

Following a successful first edition published in 2007, the follow-up 2011 edition of Wastewater Sludge - A Global Overview of the Current Status and Future Prospects will present an updated and expanded perspective on developments in relation to wastewater sludge around the world. Sludge arising from wastewater treatment represents a serious environmental issue, requiring technological and management solutions to ensure it is processed in a safe and economically efficient manner. Extension of sewers, the construction of new wastewater treatment facilities and the upgrading of existing wastewater plants means the amount of sludge to be handled continues to increase. Alongside this, aspects relating to energy consumption and sustainable operation need to be considered. Within this general picture, sludge is generated in different technical, economic and social contexts around the world, demanding that different approaches need to be taken. The 2011 edition of this report provides a strategic overview of the wastewater sludge market around the world, based on regional and country contributions. These look at the current situation in terms of sludge generation, legislation, technology applied and management management approaches. These will then look at anticipated developments over the short / medium term, including expected developments in terms of legislation and the technology and management solutions to be implemented. These will be complemented by longer term perspectives also. The report has been prepared for the Market Briefing Series of the International Water Association's magazine Water21, with input from IWA's network of wastewater sludge experts around the world. Contributions in the 2011 edition are due to include Western Europe, Portugal, Italy, Belgium, Eastern Europe, Turkey, USA, Canada, Latin America / Caribbean, Colombia, Brazil, East Asia, Korea, Malaysia, South Asia, China, Africa, and Australasia.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.500
Threshold uncertainty score0.714

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.5000.294

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 head0.040
GPT teacher head0.221
Teacher spread0.181 · 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.

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

Citations0
Published2011
Admission routes1
Has abstractyes

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