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Record W2583732677 · doi:10.14324/111.0954-6839.056

Halfway between Memory and History: Romanian Gulag Memoirs as a Genre

2017· article· en· W2583732677 on OpenAlexaff
Ruxandra Iuliana Petrinca

Bibliographic record

VenueSlovo · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicPolish-Jewish Holocaust Memory Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsGulagMemoirRomanianHistoryArt historyArchaeologyPhilosophyLinguistics

Abstract

fetched live from OpenAlex

Halfway Between Memory and History: Romanian Gulag Memoirs as a Genre Memoirs offer unique human testaments to historical events. This article analyses a sample of seven Gulag memoirs that recount experiences of imprisonment at the height of the Stalinist repression in Romania, between 1947 and 1964. The paper looks at the literary conventions employed by the authors in the recounting of their stories. The memoirs were chosen for the broad range of perspectives they represent, with particular attention being paid to the gendered experiences of imprisonment. The texts will be approached through the lenses of literary criticism, as this article analyses common tropes, motifs, characters, and techniques of narration - elements that make Gulag memoirs a ‘genre’ in its own right. A close reading of the text will uncover not only the gruesome realities of Communist persecution, imprisonment, and torture, but also the prevailing mentalities of that era. The literary components of the texts provide clues that help in decoding the authors’ self and their understanding of history.

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)0.003
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0080.017
Scholarly communication0.0080.005
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.075
GPT teacher head0.259
Teacher spread0.183 · 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

Citations5
Published2017
Admission routes1
Has abstractyes

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