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Record W2101903607 · doi:10.1177/1206331212452350

Site-Specificity in the Postsocialist City

2013· article· en· W2101903607 on OpenAlexaff
Aleksandra Kamińska

Bibliographic record

VenueSpace and Culture · 2013
Typearticle
Languageen
FieldPsychology
TopicMemory, Trauma, and Commemoration
Canadian institutionsYork University
Fundersnot available
KeywordsNarrativeCollective memoryAlienationSociologyPoliticsGlobalizationAestheticsLocalityIdentity (music)Meaning (existential)DemocracyHistoryPolitical scienceLawLiteratureArtPsychology

Abstract

fetched live from OpenAlex

Increased transnational and cross-cultural exchanges raise questions about the enduring meaning of site, locality, and rootedness. Media art’s ability to animate architecture offers provocative ways of reclaiming urban narratives and site-specificity. In Poland, such interventions into the urban landscape pluralize history and challenge the institutionalized narratives of cultural memory in order to rebuild the civic identity needed for a democratic politics. Aleksandra Polisiewicz’s (aka Aleka Polis) Wartopia and Rafał Jakubowicz’s Swimming Pool and Es Beginnt in Breslau use different media to explore forgotten or repressed local urban histories in attempts to resist the “collective amnesia” that has marked postsocialist attitudes toward the recent past. The ephemeral nature of these projects creates piercing mediations and juxtapositions between past and present, revealing the continuing importance of memory and history in processes of Polish self-enfranchisement. These are not nostalgic historical markers but rather meaningful assertions of locality in the face of cultural globalization and the isolation and alienation of a-historical and placeless communities.

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 score0.010
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.029
Scholarly communication0.0060.003
Open science0.0010.011
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.030
GPT teacher head0.298
Teacher spread0.267 · 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
Published2013
Admission routes1
Has abstractyes

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