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Record W3163162486 · doi:10.32028/exnovo.v1i0.398

Exploring the public perception of Communist Heritage in Post-communist Albania

2016· article· en· W3163162486 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEx Novo Journal of Archaeology · 2016
Typearticle
Languageen
FieldPsychology
TopicMemory, Trauma, and Commemoration
Canadian institutionsArthur B. McDonald-Canadian Astroparticle Physics Research Institute
Fundersnot available
KeywordsCommunismCultural heritagePolitical scienceQuarter (Canadian coin)PerceptionCommunist stateCapital (architecture)SociologyEconomyPolitical economyGeographyPoliticsArchaeologyPsychologyLawEconomics

Abstract

fetched live from OpenAlex

More than a quarter of a century after the fall of the eastern bloc (broadly intended), former commu­nist countries have dramatically changed. Yet the memory of the recent past is sometimes perceived as being accompanied by a considerable sense of unease. This process is mirrored clearly in the way some countries have dealt with the physical remains of the regime. This paper will focus on a case study from contemporary Albania and represents one of the first attempts at addressing the social significance of the remnants of the recent communist past in this country. It is undertaken not only through a theo­retical and historical investigation, but also via a direct survey of the public (in this case a sample of citizens of the capital city Tirana). Our results suggest that, contrary to our initial assumptions, there is a considerable widely shared interest in the material remnants of the regime and that its cultural heritage its cultural heritage still needs to be explained.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.737
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.103
GPT teacher head0.317
Teacher spread0.214 · 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