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Record W4205269316 · doi:10.53604/rjbns.v6i1_1

Editorial Foreword

2014· article· en· W4205269316 on OpenAlexaff
Crina Leon

Bibliographic record

VenueThe Romanian Journal for Baltic and Nordic Studies · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Cultural and National Identity
Canadian institutionsNordic Life Science Pipeline (Canada)
FundersEEA GrantsUniversitetet i AgderUniversitetet i Oslo
KeywordsRomanianPolitical scienceScholarshipLatvianVocational educationAgency (philosophy)SyllabusModernization theoryLibrary sciencePublic administrationSociologySocial scienceLaw

Abstract

fetched live from OpenAlex

The current issue of Revista Română de Studii Baltice şi Nordice / The Romanian Journal for Baltic and Nordic Studies gathers in its first part the syllabi of the courses taught during the Romanian summer school of Nordic and Baltic studies entitled “A piece of culture, a culture of peace” (CoolPeace), 2014 session. This summer school is an educational programme supported by a grant from Iceland, Liechtenstein and Norway. Financed under the measure “inter-institutional cooperation projects” of the EEA grants, the summer school is meant to strengthen the institutional cooperation at the level of higher education sector between all the partners involved: Valahia University of Târgovişte as the Project Promoter, the University of Agder, the University of Oslo, the Embassy of Lithuania in Romania, Peace Action Training and Research Institute of Romania and the Romanian Association for Baltic and Nordic Studies. The Programme Operator of the EEA Scholarship Programme in Romania is ANPCDEFP (the National Agency for Community Programmes in the Field of Education and Vocational Training).

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)0.003
metaresearch head score (Gemma)0.020
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: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.156
Threshold uncertainty score0.521

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.020
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0060.004
Open science0.0020.002
Research integrity0.0070.008
Insufficient payload (model declined to judge)0.1560.115

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 head0.050
GPT teacher head0.367
Teacher spread0.317 · 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
GenreEditorial

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
Published2014
Admission routes1
Has abstractyes

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