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Record W7132798553

MODEL PROCEDURES FOR SOLVING OVER-INDEBTEDNESS OF NATURAL PERSONS IN THE EUROPEAN UNION: CROATIAN EXPERIENCES AND SOLUTIONS

2018· other· hr· W7132798553 on OpenAlexaboutno aff
Dalibor Ružić, Dejan Bodul

Bibliographic record

VenueRepository of the University of Rijeka · 2018
Typeother
Languagehr
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsCroatianNatural (archaeology)CulminationQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

Uvažavajući činjenicu kako je problematika potrošačko stečajnog postupka i fenomena osobne prezaduženosti općenito i u zemljama s dugom tržišnom tradicijom dinamično područje u kojem se kontinuirano traže nova rješenja koja će pratiti trend promjena u ekonomiji, pitanje svrsishodnosti i potrebe implementacije izmjena i dopuna Zakona o stečaju potrošača, pa i drugih, novih propisa u kontekstu osuvremenjivanja de lege lata rješenja, je iznimno aktualno. Cilj rada je analizirati zadnje izmjene i dopune odredbi Zakona o stečaju potrošača, s posebnim osvrtom na novi Zakon o provedbi ovrhe na novčanim sredstvima i Zakon o otpisu dugova fizičkim osobama, kao dio paketa mjera Vlade Republike Hrvatske za pomoć blokiranim građanima, a sve kako bi se analizirao nacionalni režim pomoći prezaduženim potrošačima.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.114
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0020.001
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 head0.018
GPT teacher head0.220
Teacher spread0.201 · 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 designQualitative
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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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