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Record W2780076097 · doi:10.26774/wrhm.90

Miejsce rzeczywiste – miejsce wyobrażone: nieistniejąca dzielnica żydowska w Lublinie we wspomnieniach mieszkańców

2015· article· en· W2780076097 on OpenAlexaboutno aff
Marta Kubiszyn

Bibliographic record

VenueWrocławski Rocznik Historii Mówionej · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicPolish-Jewish Holocaust Memory Studies
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)JudaismNarrativeNazismForgettingHistoryThe HolocaustSociologyEthnic groupRelation (database)Religious studiesArt historyTheologyAnthropologyArtArchaeologyLiteraturePsychologyPhilosophyGerman

Abstract

fetched live from OpenAlex

Jews constituted one of the most important ethnic and religious groups in the history of Lublin. Under the Nazi occupation the Lublin Jewish quarter was turned into a ghetto. In March 1942, after the liquidation of the ghetto, the area was knocked down. And so, extermination of Jews was accompanied by destruction of the local architectural structures and urban layout which had been developed over a few centuries. The article discusses contemporary narratives relating to the no longer existing Jewish quarter. The processes of remembering and forgetting, as well as recurring constructing of this kind of narratives will be analyzed in relation to the oral history interviews taken by the author in the years 1998–2005 as part of the documentary programme “Oral History of Lublin” run by the “Brama Grodzka – Teatr NN” Centre. The analyses are a starting point for searching the answer to questions about historical, social and cultural determinants of creating (reconstructing) the narrative about the Jewish quarter – as a place in a topographical sense and a symbolic space of cultural otherness.

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)0.000
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 score0.012
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.005
Scholarly communication0.0050.003
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.141
GPT teacher head0.254
Teacher spread0.114 · 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

Citations1
Published2015
Admission routes1
Has abstractyes

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