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Record W4401919681 · doi:10.1080/08865655.2024.2394052

Good Neighbourly Relations: Norm Emergence and Adoption

2024· article· en· W4401919681 on OpenAlexvenueno aff
Islam Jusufi

Bibliographic record

VenueJournal of Borderlands Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsNorm (philosophy)Mathematical economicsPolitical scienceMathematicsComputer scienceLaw

Abstract

fetched live from OpenAlex

This article studies the politics of regional cooperation and regionalism, with particular attention to “good neighbourly relations”, which has emerged as a new concept in the field. Since the early 1990s, the Balkan countries have pursued attempts to link with each other in regional platforms and networks. Applying the concept of “good neighbourly relations”, this article seeks to reveal how the countries of the region have pursued regional cooperation while facing the reality of persistent bilateral disputes among themselves. While influential studies point to a growing cleavage among neighboring countries, this article seeks to further the understanding of regional cooperation with an assessment of the emergence and rise of the concept of “good neighbourly relations” to a norm of regionalism. By applying a social constructivist perspective this article investigates whether, and how, “good neighbourly relations” functioned as a channel of diffusion of norms pertaining to regionalism and regional cooperation in the Balkans. The article suggests that “good neighbourly relations” provided an opportunity for norm diffusion. By allowing the emerging norm of “good neighbourly relations” to guide regionalism efforts, the ambitions to promote the norm regionally as well as globally were supported.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.835
Threshold uncertainty score0.234

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.036
GPT teacher head0.347
Teacher spread0.311 · 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 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
Published2024
Admission routes1
Has abstractyes

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