MétaCan
Menu
Back to cohort
Record W3165742997 · doi:10.32028/exnovo.v5i.409

Fascism on display: the afterlife of material legacies of the dictatorship

2020· article· en· W3165742997 on OpenAlexaff
Flaminia Bartolini

Bibliographic record

VenueEx Novo Journal of Archaeology · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicItalian Fascism and Post-war Society
Canadian institutionsArthur B. McDonald-Canadian Astroparticle Physics Research Institute
Fundersnot available
KeywordsExhibitionUrbanismAestheticsIconoclasmDictatorshipAfterlifeHistoryNarrativeArchitectureSociologyArtPolitical scienceArt historyArchaeologyLiteratureLawPolitics

Abstract

fetched live from OpenAlex

The year 2015 marked the seventy-fifth anniversary of the end of World War II, a commemoration that prompted Italy to reconsider the complexity of the Fascist phenomenon and how the artistic creations and urbanism of the regime contributed to shaping city landscapes across the country. Fascist material legacies are an unequivocal presence in any Italian city, but the ways in which they have been preserved or not, reused or abandoned, provokes consideration of the complexities of the country’s renegotiation of its Fascist past, shifting from iconoclasm to present-day heritage status. Heritage designation and the restoration of Fascist works of art and architecture have posed questions regarding selectivity in heritage and whether Italy has yet to come to terms with its Fascist past. This paper will look at how Italy’s approach to Fascist heritage, which has recently been framed as ‘difficult heritage’ following Macdonald’s work on Nazi Germany, is an expression of the conflicting narratives that surround any renegotiation of the Fascist past, and how some recent conservation projects and exhibition have failed to demonstrate reflexivity over Fascism. It will also deconstruct the role of restoration and the heritage practices of preservation and management and will question the link between conservation and changes of attitude regarding a ‘difficult’ past.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.595
Threshold uncertainty score0.871

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.270
Teacher spread0.247 · 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 teacher head, 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

Citations6
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueEx Novo Journal of ArchaeologySame topicItalian Fascism and Post-war SocietyFrench-language works237,207