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Record W4402750059 · doi:10.21827/grojil.11.1.1-22

How to End the Territorial Conflicts in Georgia: An International Law Based Mediation Proposal for Abkhazia and South Ossetia

2024· article· en· W4402750059 on OpenAlexfundno aff
Tero Lundstedt

Bibliographic record

VenueGroningen Journal of International Law · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPost-Soviet Geopolitical Dynamics
Canadian institutionsnot available
FundersJenny ja Antti Wihurin RahastoUniversity of CambridgeYork UniversityFordham UniversityUniversity of Pennsylvania
KeywordsMediationPolitical scienceLawCriminologyLaw and economicsSociology

Abstract

fetched live from OpenAlex

In this article, I present a proposal for an international law-based formula to mediate territorial conflicts, and apply it to the separatist cases in Georgia. While the situation there is notably more stable than in some other post-Soviet conflicts (i.e., Russia and Ukraine, Armenia and Azerbaijan), it is important to note that these ‘frozen conflicts’ can become quickly unfrozen and heat up in violent aggression. Thus, while a ceasefire between the conflicting parties has held for 14 years, the conflicts in Georgia need a definitive political solution that is simultaneously based on a legally solid compromise. In this article, I use my formula to propose such a compromise to the Georgian territorial questions that fit into the contemporary international legal framework concerning territory. Naturally, any realistic solution will require concessions on every stakeholder. In short, the formula offers for Georgia the return of its territorial integrity, for Abkhazia internal self-determination in the form of a meaningful territorial autonomy, for South Ossetia a recognition of a set of strictly limited cultural and language rights, and for Russia a position as a guarantor state. All these proposals are based on international law.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.871
Threshold uncertainty score0.784

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.015
GPT teacher head0.310
Teacher spread0.294 · 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 designTheoretical or conceptual
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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