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Record W1454336750

"Victim of the Past, The present and The possible Future" Belladonna by Dasa Drndic

2014· article· en· W1454336750 on OpenAlexaboutno aff
Petra Žagar Šoštarić

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicPsychoanalysis and Social Critique
Canadian institutionsnot available
Fundersnot available
KeywordsHuman fertilizationBiologyAgronomy
DOInot available

Abstract

fetched live from OpenAlex

The discussion about the war plays not only a central role in German literature of the 20th century, but it also holds a very important and indispensable place in Croatian literature, considering the events of the previous war on Croatian territory (i.e. former Yugoslavia) around 1990. Wars are, as Carsten Gansel says: “similar to revolutions, fundamental disturbances of the social system status, a social ‘state of emergency’” (Gansel 2012: 9-12). Literature as a form of ‘self-observation of societies’ (H. Böhme 1998: 476–485) constitutes a medium, in which ‘fault conditions’ (Gansel 2012: 9-12), caused by wars, can be thematized. The “dualism of offender and victim, observer and combatant, army and civil population, rulers and subjects” (also in socio-political everyday life), find expression in literature, by processing it literarily and discussing it. In her work, Daša Drndić thematizes exceedingly controversial and lively past and current war discourses in socio-cultural context from the perspective of the past, as well as of the present. Her work, i.e. her texts, can be considered as a cultural form of expression, which “in symbolic presentation provides individual, and/or generation-specific reminiscence of the collective memory[1]” (Gansel 2011:11). Daša Drndić discusses openly and without reservation already controversially conducted discourses about the Second World War, Holocaust, escape, expulsion, camp and destruction, especially after 1945, as well as the roles of the offender and victim not only in the Second World War and the ‘Yugoslavian war’ (civil war, fatherland war) from an – let’s say – own perspective. In her most recent work Belladonna (2012)[2], she even goes one step further, by thematizing and questioning the present everyday life interwoven with experiences, events and stories from the past through illness, suffering, dying, death and being a victim of diverse socio-political and socio-cultural systems until it becomes unbearable. Daša Drndić, a retired professor of Modern English Literature and author of several award-winning novels, with residence in Rijeka and several study and research periods amongst others in the USA, Canada, Serbia, Germany, Switzerland and Italy, born 1946 in Zagreb, is, besides Slavenka Drakulić, Dubravka Ugrešić and Ivana Sajko, one of the most read and most committed (as well as the most controversial) author of contemporary Croatia. [1] Collective stories are based on collective memory, which – as opposed to the individual memory - is developed in social interdependency of members of a collective. The individual memory, which is formed by the collective memory of the social-historical environment, builds, however, individual stories. See:Gansel/Kaulen 2011. [2] All quotations of the novel Belladonna (2012) will be marked/quoted only with ´Belladonna´ and the page number. All quotations have been translated from Croatian into German by the author of this article, as a German Translation of the novel Belladonna is not yet available. The novel Sonnenschein, which is on a paratextual level very important for this study, is currently being translated from Croatian into German (status: 29.9.2014). The German translation will be presented at the book fair in Leipzig in 2015.

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)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.028
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0060.005
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.114
GPT teacher head0.533
Teacher spread0.419 · 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
GenreOther

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

Citations0
Published2014
Admission routes1
Has abstractyes

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