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Record W3184909982 · doi:10.1080/13527258.2021.1950027

Architecture and friendship among nations: the shifting politics of cultural diplomacy in Tbilisi, Georgia

2021· article· en· W3184909982 on OpenAlexaff
Suzanne Harris-Brandts, David Sichinava

Bibliographic record

VenueInternational Journal of Heritage Studies · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsCarleton University
FundersShota Rustaveli National Science Foundation
KeywordsFriendshipPoliticsDiplomacyScholarshipElitePolitical scienceSociologyMedia studiesPolitical economyLawSocial science

Abstract

fetched live from OpenAlex

In 1938, the Soviet Georgian administration inaugurated the iconic Institute of Marx, Engels, and Lenin (IMEL) in Tbilisi under pretences of socialist unity and friendship among Soviet nations. Three quarters of a century later, the same building – now privatised, heavily renovated, and re-branded – was re-inaugurated as the seven-star Biltmore Hotel. The hotel’s grand opening included an enormous video projection on the western façade, telling the story of a new friendship among nations, this time between independent Georgia and the United Arab Emirates as the hotel’s financiers. This article tracks the shifting politics of cultural diplomacy associated with this adaptive reuse project. It contributes to a growing body of scholarship on cultural diplomacy by delving deeper into the social, political, and economic implications surrounding the particular use of friendship rhetoric in such practices. In doing so, it charts the manipulation of architecture to communicate international cooperation and the power of its patrons. Drawing from archival sources, field observations, media analysis, and focus groups, the work argues that, rather than an outmoded means of public service announcement, symbolic architecture continues to be a crucial arena for state politics, one entangled with new modes of spectacle in the city.

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.455
Threshold uncertainty score0.223

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.082
GPT teacher head0.313
Teacher spread0.231 · 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

Citations6
Published2021
Admission routes1
Has abstractyes

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