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Record W2561099570 · doi:10.1075/ll.2.3.05ben

Schöneberg

2016· article· en· W2561099570 on OpenAlexaboutno aff
Eliezer Ben‐Rafael, Miriam Ben-Rafael

Bibliographic record

VenueLinguistic Landscape An international journal · 2016
Typearticle
Languageen
FieldPsychology
TopicMemory, Trauma, and Commemoration
Canadian institutionsnot available
Fundersnot available
KeywordsPersecutionBoroughNazismPublic spaceQuarter (Canadian coin)ScholarshipHistorySociologyArtPolitical scienceArchaeologyLawGermanEngineering

Abstract

fetched live from OpenAlex

This paper is about the 80 diptychs affixed to lampposts in the Bayerische Viertel (Bavarian Quarter) of Berlin’s Schöneberg neighborhood, that memorialize the persecution of Germany’s Jewry. This study draws its research interests from the sociology of memory, monument scholarship, and the socio-historical study of mass persecution. It explores how far the LL objects can be considered part of LL’s configuration of an area; what interests motivated its creation as a dimension of the local LL; what uses of semiotic and geosemiotic resources were made in this counter-monument in the public space’s construction; and how it confronts the socio-historic challenge of displaying in the LL of a borough of Berlin the Nazi mass persecution of Jews.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.652
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.001

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 head0.030
GPT teacher head0.339
Teacher spread0.310 · 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; both teacher heads agree on what is shown here.

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

Citations3
Published2016
Admission routes1
Has abstractyes

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