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Record W2007935485 · doi:10.2495/sdp-v3-n1-73-82

Domestic waste management as a means for life quality improvement and environmental protection in the city of Karditsa: citizens' viewpoint

2008· article· en· W2007935485 on OpenAlexvenueno aff
Paraskevi Karanikola, Stilianos Tampakis

Bibliographic record

VenueInternational Journal of Sustainable Development and Planning · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicMunicipal Solid Waste Management
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental planningBusinessEnvironmental qualityWaste managementEnvironmental resource managementEnvironmental protectionEnvironmental scienceEngineeringPolitical scienceLaw

Abstract

fetched live from OpenAlex

This project refers to the investigation of opinions of Karditsa municipality citizens with respect to waste management and cleanness in their town. About 57.7 % of the citizens state that they are unaware of the municipality’s cleanness regulation, while with respect to information about waste management, 31.2 % claim to be suffi ciently informed, and 31.4 % have poor information. However, most citizens fi nd the cleanness services provided to be satisfactory (58.4%). Citizens who evaluate the cleanness services as being ‘satisfactory to very satisfactory ’ live at a distance of up to 50 m from the waste containers, and state that the containers are emptied more than 3 times a week, while those who claim to be ‘disappointed to very disappointed ’ are located at a distance more than 50 m away from the containers and claim that waste is collected 1–3 times a week. Almost half of the citizens are aware of containers being moved, and usually dispose of waste in the morning and evening, while the vast majority (80.5%) denied leaving waste outside the containers when these are empty. Finally, around half of the citizens are unaware of the amount they pay through municipal taxes for cleanness and waste disposal.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.289
Threshold uncertainty score0.382

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.025
GPT teacher head0.267
Teacher spread0.242 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2008
Admission routes1
Has abstractyes

Explore more

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