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Thalassocratic Tendencies and Their Possible Influence on the Formation of Identity Among Residents of the Far Eastern Cities of Post-Soviet Russia

2024· article· en· W4399428268 on OpenAlexaboutno aff
E. Bulakh, S.S. MANAPOV

Bibliographic record

VenueSociopolitical sciences · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Socio-Economic Development Trends
Canadian institutionsnot available
Fundersnot available
KeywordsIdentity (music)Port (circuit theory)PoliticsRussian federationGeographyWork (physics)PopulationPolitical scienceMiddle EastEconomyEconomic geographyDevelopment economicsSociologyRegional scienceDemographyEconomicsLaw

Abstract

fetched live from OpenAlex

The article is the result of an analysis of factors in the formation of collective identity at points of economic growth. Thalassocratic tendencies that determine the identity of residents of port cities are of particular interest for socio-political research. The Russian Federation has access to sea communications from the north, south, west and east. An assessment of thalassocratic trends in the USA, Canada, Germany and Turkey allows us to assume that the unified identity that emerged during the Soviet period will not retain its integrity. The political activity of the population in the port cities of the Russian Far East will take on different characteristics than in the cities of the continental part. The work used: a comparative method necessary to identify qualitative differences between local and regional thalassocratic and tellurocratic identities. Particular attention is paid to aspects that determine the presence, possible manifestation and dynamics of the formation of signs of thalassocratic identity in the south of the Russian Far East.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.613
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.007
Scholarly communication0.0000.001
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 head0.031
GPT teacher head0.301
Teacher spread0.270 · 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.

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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