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Record W2252762225

Cartography in Croatia 2011-2015

2015· article· hr· W2252762225 on OpenAlexaboutno aff
Dražen Tutić, Miljenko Lapaine, Marina Viličić

Bibliographic record

VenueKartografija i geoinformacije · 2015
Typearticle
Languagehr
FieldSocial Sciences
TopicHistorical Geography and Cartography
Canadian institutionsnot available
Fundersnot available
KeywordsCroatianPeriod (music)GeographyCartographyThe RepublicState (computer science)Library sciencePolitical scienceArt
DOInot available

Abstract

fetched live from OpenAlex

National Report to the ICA 16th General Assembly Rio de Janeiro, Brazil, 2015 Croatia has been a member of the International Cartographic Association – ICA since 1995 and one of its obligations has been to submit national reports about its cartographic activities to general assemblies held every four years. The bearer of these activities in Croatia is the Croatian Cartographic Society. Croatia became a member of the ICA in Barcelona in 1995, where its first national report for the period 1991– 1995 was submitted. Reports were also submitted in Ottawa in 1999 for the period 1995–1999, in Durban (Republic of South Africa) in 2003 for the period 1999–2003, in Moscow in 2007 for the period 2003–2007, and in Paris in 2011 for the period 2007–2011. This report, which covers the period 2011–2015, will be submitted at the General Assembly of the ICA in Rio de Janeiro in 2015. As a result of this work, Croatia has a comprehensive overview of cartographic activities in the past 20 years, i.e. since it became an independent state. The report is divided into the following sections: Official Cartography, Academic Cartography, Commercial Cartography and Other Activities. The report ends with Acknowledgments and a Bibliography. A report such as this will never include all the activities of the preceding period. This is because not all parties responded to the invitation to collaborate. Nevertheless, the most relevant institutions and companies are repre­sen­­ted in the report. It is the result of individual contributions, and those people are listed in the Acknowledgments. The list of references at the end of the report was based on data provided by collaborators on the report, searching the Croatian Scientific Bibliography database, and other sources.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.739
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.007
Science and technology studies0.0010.002
Scholarly communication0.0000.002
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.003

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 head0.028
GPT teacher head0.288
Teacher spread0.260 · 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; both teacher heads agree on what is shown here.

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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