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Record W6947802705 · doi:10.4324/9781003130031-14

(De)constructing imperial heritage : Moscow Zaryadye in times of transition

2023· other· en· W6947802705 on OpenAlexaboutno aff

Bibliographic record

VenueDiVA at Umeå University (Umeå University) · 2023
Typeother
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsnot available
Fundersnot available
KeywordsSoviet unionQuarter (Canadian coin)The ImaginaryState (computer science)Character (mathematics)Period (music)Space (punctuation)

Abstract

fetched live from OpenAlex

This chapter offers an imaginary archaeology of Moscow’s central district of Zaryadye located close to the Kremlin. It examines how three consecutive regimes – Tsarist Russia, the Soviet Union, and the present-day Russian state – used this site for their own history politics. In the nineteenth century, the imperial legacy of the district was rediscovered by the restoration of a historical palace of the founder of the Romanov dynasty. Because of the proximity to the Kremlin, the Soviet Union used the main part of the quarter as a construction site for buildings representing the new regime. In 2006, the empty space left after the Soviet grand projects was turned into a park that was to bring Moscow in line with other global cities. With each step, the original district turned from a residential area with an individual character into a non-place, which serves only passers-by. The chapter shows how imperial cities such as Moscow are being transformed in a long-term process, which is responsible for the palimpsestic nature of their heritage, and how the imperial heritages are (de)constructed and (re)used in the capital’s cityscape.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.230
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.1200.001

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 head0.011
GPT teacher head0.180
Teacher spread0.169 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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