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Record W7155029313 · doi:10.5817/cejcs2025-20-9

[Kürtösi, Katalin; Hajdu, Péter (eds.). A túlélés művészete: tanulmányok Margaret Atwoodról]

2025· article· en· W7155029313 on OpenAlexaboutno aff
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Bibliographic record

VenueThe Central European journal of Canadian studies · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicArtistic and Creative Research
Canadian institutionsnot available
Fundersnot available
KeywordsSubject (documents)Natural (archaeology)Government (linguistics)Work (physics)Perspective (graphical)

Abstract

fetched live from OpenAlex

To survive, one must first and foremost exist and, equally importantly, must be "seen"this is how Katalin Krtsi introduces the aptly titled A tlls mvszete.Tanulmnyok Margaret Atwoodrl [The art of survival.Studies on Margaret Atwood], a volume that showcases recent research conducted by Hungarian academics and doctoral students on Canadian literary luminary Margaret Atwood.For the general public, Canadian literature and Atwood have become largely synonymous, making any attempt at presenting her contributions, even from a highly-informed scholarly perspective, a rather daunting task.Which aspects of Atwood's prolific and multifaceted career are still poorly covered by the expert readership, if any?Where does one even begin such a journey?Where is the "here" of Atwood studies?The thirteen essays that make up the collection certainly bring us closer to an answer by tackling a variety of themes that will pique the interest of those keen on immersing themselves in the complex universe of Atwood's literary and cultural preoccupations.Krtsi herself points out in her Foreword that a diverse oeuvre requires a variety of complementary approaches (9), an objective that this volume fulfills gracefully, by bringing together experts in literary and cultural studies, translation theory, publishing and reception history.The journey of revealing Atwood's Canadianness and relevance for a Central European public -the two main threads that connect the different essays -begins with David Staines's thorough review of Atwood's career (a text translated from English by Katalin Krtsi).The strategic placement of Staines's text before the other, more specifically focused studies ensures that those less familiar with Atwood are properly initiated into her work, while veteran readers are reminded of a number of key aspects that may ease the understanding of the finer points addressed by the other contributors.Focusing mainly on the themes, characters and settings of Atwood's works, Staines highlights the major stages in her development, from the formative years

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.917
Threshold uncertainty score1.000

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.060
GPT teacher head0.279
Teacher spread0.219 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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