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Record W4312362625 · doi:10.51554/coll.21.48.05

Touring Vilna: Images of the City and its Jews in Guidebooks and Travelogues, 1856–1939

2021· article· en· W4312362625 on OpenAlexaboutno aff
Cecile Esther Kuznitz

Bibliographic record

VenueColloquia · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicCentral European Literary Studies
Canadian institutionsnot available
Fundersnot available
KeywordsVisionJudaismVariety (cybernetics)SympathyQuarter (Canadian coin)HistoryNationalismGermanPopulationNarrativeLiteratureAncient historyArtSociologyLawAnthropologyPolitical scienceArchaeologyPoliticsPsychology

Abstract

fetched live from OpenAlex

From the mid-19th century through the end of the interwar period, a variety of texts about Vilna were published to guide and inform both tourists and armchair travellers. The Polish, French and German language guidebooks and travelogues considered in this article were composed both by native sons and visitors who wished to share their impressions of the city, its notable sights, and its residents. While some overlooked the presence of Jews, most devoted some space to Vilna’s Jewish landmarks. Overwhelmingly, they focused their attention on the Jewish quarter, the traditional heart of Jewish life, although a minority ventured to newer neighbourhoods, where they discovered a vibrant modern community. Their attitudes included a mix of sympathy, fascination and revulsion; many employed the language of orientalism, even as they invested that language with a variety of meanings. These authors’ narratives were shaped by their views of the various groups that comprised Vilna’s diverse population, as well as by commitments ranging from Polish nationalism to pacifism. Such accounts thus illuminate competing visions of the larger society and the place of Jews within it

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)0.001
metaresearch head score (Gemma)0.001
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 score0.042
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0100.008
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.028
GPT teacher head0.277
Teacher spread0.249 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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Same venueColloquiaSame topicCentral European Literary StudiesFrench-language works237,207