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Record W2345231613 · doi:10.12775/aph.2015.111.05

Romania’s Peculiar Way in the Landscapes of Bucharest, 1806–1906

2015· article· en· W2345231613 on OpenAlexaboutno aff
Błażej Brzostek

Bibliographic record

VenueActa Poloniae Historica · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicUrbanization and City Planning
Canadian institutionsnot available
Fundersnot available
KeywordsSalonRomanianQuarter (Canadian coin)FellPoliticsState (computer science)Period (music)Capital (architecture)National identityEconomic historyInvestment (military)Identity (music)EliteHistorySociologyEconomyArt historyAncient historyPolitical scienceLawAestheticsArtArchaeologyCartographyEconomics

Abstract

fetched live from OpenAlex

Beginning with the middle of the nineteenth century, Bucharest was the hub of an emerging nation-state, finally turning into the capital city of a kingdom (in the century’s last quarter). This advancement implied the necessity for the town to adapt to a new status and to represent Romania before the world. To this end, broad-based investment projects were necessary; in the first place, the city had to be bestowed with edifices of public institutions. The forms of these buildings, and the designs of grand boulevards, were primarily rooted in the fascination with Paris of the time of Prefect Haussmann. Foreigners’ accounts of Bucharest testify to the image of a ‘Little Paris’ getting anchored at the time. However, the premises for this nickname are traceable in earlier period: an elitist snobbery about ‘Parisian’ salon life was taking shape in the early nineteenth century, whereas the incipient national ideas fell back on the French revolutionary tradition. The overwhelming French influence on the local elites finally raised increasing resistance as potentially damaging to the Romanian identity. This turn triggered certain political as well as architectural projects that were supposed to bring the country’s modern life to its presumed roots or ‘authentic’ tradition.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.631
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.050
GPT teacher head0.293
Teacher spread0.243 · 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 designNot applicable
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

Citations2
Published2015
Admission routes1
Has abstractyes

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