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Record W1533351324 · doi:10.21971/p7459p

“I Have Often Walked Down This Street Before…But What Was it Called?”: Changes to Street Names in Budapest from the End of Turkish Rule to the Present

2009· article· en· W1533351324 on OpenAlexaffvenue
Eva Bodnar

Bibliographic record

VenueCrossing boundaries · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicBalkans: History, Politics, Society
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsTurkishPeriod (music)GermanToponymyCapital (architecture)HistoryIdentity (music)OnomasticsPoliticsMeaning (existential)Media studiesLawSociologyPolitical scienceAncient historyArtLinguisticsArchaeologyAesthetics

Abstract

fetched live from OpenAlex

My essay examines patterns of meaning in the nomenclature chosen to designate street names of Budapest, Hungary’s present-day capital city, over a period of about three hundred years. I attend to the magyarization of Budapest and how street signage reflected the change of Budapest from a German to a Hungarian city. After the changeover to Magyar I continue to address how Budapest street toponymy was consistently utilized to express national identity. As consensus over national identity changed over time, so did its metaphorical expression in Budapest street nomenclature. Examples of these changes include the creation of cults of collective remembrance and personality in the nineteenth century and irredentism in the twentieth century. I also argue that Budapest street naming during the socialist period served the purpose of legitimizing the purported domestic origin of the ruling political philosophy. Currently, the erasure and retention of street names from previous regimes is a deliberate policy of symbolic reconciliation of Hungary’s past with its present.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.012
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.026
GPT teacher head0.305
Teacher spread0.279 · 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 source (direct Gemma or distilled Codex), 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

Citations3
Published2009
Admission routes2
Has abstractyes

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