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Record W7053576994

Výzkum možností rozšíření informovanosti obyvatel při nakládání s odpady v městské čísti Brno - střed

2015· dissertation· en· W7053576994 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2015
Typedissertation
Languageen
FieldEngineering
TopicLaser Design and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsLegislatureIdentification (biology)Data collectionMeasure (data warehouse)Municipal solid wasteCover (algebra)Quarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

The major concern of master thesis was to investigate opportunities of public awareness enhancement considering waste management in Brno central region. Firstly the legislative background and general terms were reported. Then state-of-art including for instance waste classification or waste collection points was of major interest. Subsequently own survey by mean of questionnaire interview was performed and obtained data were used for identification of current weaknesses. On the ground of obtained results own certain measures were designed to cover current drawbacks which may lead to enhancement of public awareness about waste management. Each and every designed measure was intensively discussed and consulted with head of department of waste management at local Brno-central region Municipality. For each measure official statement with comments and recommendations was obtained from head of department. Although designed measures were found beneficial and were considered for further application, the lack of available finance resources has been found as a major reason for temporary rejection. Nevertheless the City Municipality has obligated themselves to consider such measures in some of the future concepts for waste management.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.637
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.001
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 head0.008
GPT teacher head0.227
Teacher spread0.219 · 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.

Study designNot applicable
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
Published2015
Admission routes1
Has abstractyes

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