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Record W1972941678 · doi:10.5463/ejlw.2.55

Postcards from Europe: Dubravka Ugrešić as a Transnational Public Intellectual, or Life Writing in Fragments

2013· article· en· W1972941678 on OpenAlexaff
Eva C. Karpinski

Bibliographic record

VenueEuropean Journal of Life Writing · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicBalkans: History, Politics, Society
Canadian institutionsYork University
Fundersnot available
KeywordsTransnationalismLife writingnobodyPoliticsAutoethnographySkepticismGender studiesSociologyHistoryEthnic groupBiographyAestheticsLiteraturePolitical scienceLawArt historyArtAnthropology

Abstract

fetched live from OpenAlex

The article explores Dubravka Ugrešić's ongoing project of interrogating and challenging different constructions of Europe from the perspective of “minor transnationalism”, focusing on the relationship between European minority cultures and the West. She has developed a hybrid form of political life writing that I call the autobiographical fragment, which mixes autobiography, personal essay, cultural criticism, travel writing, autoethnography, epistolarity, and diary. I argue that the autobiographical fragment is uniquely suited to address the discontinuities and ruptures of history, experience, and memory that have accompaniedEurope’s post-communist transformations. In the texts that I examine, including "Have a Nice Day: From the Balkan War to the American Dream", "The Culture of Lies", "Thank You For Not Reading", and "Nobody’s Home", she confronts the trauma of ethnic and gendered violence and integrates the personal and the “global”, linking the former Yugoslavia, present-day Croatia, the European Union, the United States, and the globalized cultural marketplace.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.009
Scholarly communication0.0110.005
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.060
GPT teacher head0.299
Teacher spread0.239 · 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 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

Citations5
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueEuropean Journal of Life WritingSame topicBalkans: History, Politics, SocietyFrench-language works237,207