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Record W4413080159 · doi:10.47745/ausleg.2024.13.1.08

The Right of Children Belonging to a Minority to Be Educated in Their Language and Script in the Republic of Croatia

2024· article· en· W4413080159 on OpenAlexfundno aff
Ana Radina

Bibliographic record

VenueActa Universitatis Sapientiae Legal Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicMinority Rights and Languages
Canadian institutionsnot available
FundersUniversity of TorontoUNICEF
KeywordsRealisationDemocracyNormativeIdentity (music)Right to educationMinority languagePolitical scienceThe RepublicFirst languageNational languageOrder (exchange)Set (abstract data type)SociologyHuman rightsPedagogyGender studiesLawLinguisticsEpistemology

Abstract

fetched live from OpenAlex

The right to education is indispensable to advancing human rights in a democratic society and is essential for enabling an individual to live a dignified life. Language is central to the identity of linguistic minorities and is a very important means of communication in society. Language issues are often the source of claims of discrimination in education. In the Republic of Croatia, children belonging to national minorities have a guaranteed right to be educated in their mother tongue. However, there are gaps between the standards set by the normative framework and practical reality. This study aims to analyse the approach of the Croatian legal order to the issue of education of children in the language and script of their national minority. Then, this study seeks to identify the obstacles that in practice hinder the full realisation of this right and ultimately to propose de lege ferenda measures that can contribute to the removal of existing barriers.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.238
Threshold uncertainty score0.961

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.013
GPT teacher head0.286
Teacher spread0.272 · 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.

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

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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