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Record W628479730 · doi:10.15291/geoadria.235

Od mora koja razdvajaju do arena za suradnju: primjena režima zatvorenog i poluzatvorenog mora na Jadran

2012· article· hr· W628479730 on OpenAlexaff
Clive Schofield, Ian Townsend‐Gault

Bibliographic record

VenueGeoadria · 2012
Typearticle
Languagehr
FieldEnvironmental Science
TopicInternational Maritime Law Issues
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMoraHumanitiesPhysicsArtPhilosophyLinguistics

Abstract

fetched live from OpenAlex

Pravo mora biti međunarodna pravna osnova za obalne države na Jadranu na temelju kojeg mogu zahtijevati područja jurisdikcije na moru uz svoje obale te međusobno podijeliti Jadransko more. Isti međunarodni zakon o moru obvezuje jadranske obalne države da urađuju na različite načine, posebice pri uspostavljanju posebnih režima koji se primjenjuju u zatvorenim i poluzatvorenim morima poput Jadranskog. Ovaj rad analizira zahtjeve za jurisdikcijom na oru koje dopušta međunarodno pravo i posebice stvarne pretenzije u Jadranu. Primjena režima zatvorenog i poluzatvorenog mora u kontekstu Jadrana također se razmatra u radu.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.017
Scholarly communication0.0100.004
Open science0.0010.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0140.001

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 head0.011
GPT teacher head0.241
Teacher spread0.230 · 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.

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

Citations1
Published2012
Admission routes1
Has abstractyes

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