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Record W6961364724 · doi:10.15126/thesis.901172

The Vampire’s Mirror, a Novel and Accompanying Commentary on Mis/Recognitions of Eastern Europe/ans in British Literature and Culture

2024· dissertation· en· W6961364724 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldMedicine
TopicCancer Risks and Factors
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativePoliticsBritish literatureBulgarianLiterary criticismHistory of literaturePostcolonial literatureWorld literatureCanadian literature

Abstract

fetched live from OpenAlex

This thesis is a creative-critical response to perceptions and representations of Eastern Europe and Eastern Europeans that I term <em>mis/recognitions</em>. It consists of a creative component in the form of a novel, <em>The Vampire’s Mirror</em> (67,000 words), and an accompanying critical commentary entitled “Mis/Recognitions: Staging Eastern Europe in Literature and Culture” (26,000 words). <em>The Vampire’s Mirror</em> employs error as its mechanism of emplotment by dramatizing the predicament of the Eastern European migrant/writer who is often placed in a position of having to account for her cultural and linguistic difference. It tells the story of Ljubitsa Angelova, a Bulgarian translator in an alternative post-Brexit Britain where all forms of translation are under political control. The critical component contextualises the novel in an exploration of the ways in which characters and settings are scripted, produced and known as Eastern European in a broad range of fiction and film from the late nineteenth to the twenty-first centuries as based on a critical framework derived from theorizations of mis/recognition in psychoanalysis, social and political theory, philosophy, and literary and narrative theory. The critical component also examines the writing back strategies I sought to adopt in <em>The Vampire’s Mirror</em> as informed by postcolonial and post-communist literary revisions, literary back-translation, narrative accounting and genre experimentation. <br>

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.628
Threshold uncertainty score0.973

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.020
GPT teacher head0.301
Teacher spread0.282 · 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 designObservational
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

Citations0
Published2024
Admission routes1
Has abstractyes

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