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Record W2592307713 · doi:10.5539/jpl.v10n2p136

Regional and International Cooperation to Reduce Nagorno – Karabakh Conflict

2017· article· en· W2592307713 on OpenAlex
Ali Mortazavian, Mohammad Ghiacy

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Politics and Law · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicPost-Soviet Geopolitical Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsConvergence (economics)Political scienceOrder (exchange)International relationsPolitical economyEconomyBusinessSociologyLawEconomic growthEconomicsPolitics

Abstract

fetched live from OpenAlex

Almost two decades since conflict broke out between the Republic of Azerbaijan and Armenia, two northern neighbors of Iran, in Nagorno – Karabakh region. Although military conflict in this region has minimized with the existing ceasefire, and reaching a sustainable agreement is likely to be happened by the two parties. Close regional and international cooperation seems necessary more than ever in order to reduce conflict in Nagorno – Karabakh region. The main objective of this study is to give a thorough presentation of the regional and international cooperation in order to reduce Nagorno – Karabakh regional issues and hazards.Hereunder is the main question raised by the researcher: “To what extent regional and international cooperation is effective in reducing Nagorno – Karabakh conflict?”The hypothesis of the present study is that the interrelated nature of security in the international system and Caucasus region causes convergence among neighboring countries to reduce conflict in Caucasus and Nagorno – Karabakh regions. Taking advantage of the analytic – descriptive method and also benefiting from reliable and authentic sources, it can be concluded that the interdependence of threat will lead to the increased mutual costs in this study. This issue will cause formation of convergence in the Caucasus region, so that it will lead to the reduced conflict and tension in Nagorno – Karabakh region.

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.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.921
Threshold uncertainty score0.457

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.048
GPT teacher head0.373
Teacher spread0.325 · 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