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Record W3138441901 · doi:10.22215/etd/2020-14321

An Apple Out of Reach: The Unattainable Ideal Beloved and Sappho’s Poetics in the Poetry of Marguerite Yourcenar and Anne Carson

2020· dissertation· en· W3138441901 on OpenAlexaff
Colin Mylrea

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicPhilippine History and Culture
Canadian institutionsCarleton University
Fundersnot available
KeywordsPoetryLiteraturePoeticsIdeal (ethics)RealmEroticismArtIncarnationCriticismPhilosophyArt historyHistoryTheologySociologyHuman sexualityArchaeology

Abstract

fetched live from OpenAlex

The way the Archaic Greek poet Sappho and her poetry is represented and engaged with in the writing of Anne Carson and Marguerite Yourcenar appears on the surface to be decidedly disparate.However, when the thematic elements of Yourcenar and Carson's respective Sapphic texts are excavated, the two authors in fact demonstrate resemblance, specifically in how they both engage with Sappho and her poetry as a way to push eroticism beyond the profane and into the realm of the sacred.By drawing on criticism of Sappho, moral philosophy, and other writings from Yourcenar and Carson, I argue that both Youcenar and Carson invoke Sappho as an incarnation of the ideal beloved inside the text and in their biographies.Attendant to this argument, I also present a reading of Yourcenar and Carson's Sapphic texts that highlights and then engages with misconceptions of their work and styles by drawing attention to previouslyneglected elements in their writing to draw them closer to a Sapphic 'tradition.' My own poetry, which is appended to the thesis, demonstrates how the imagery and themes discussed in the main body can be applied to articulations of the ideal beloved, even when the poetry is not explicitly Sapphic in origin.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.024
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.019
GPT teacher head0.296
Teacher spread0.277 · 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 designTheoretical or conceptual
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
Published2020
Admission routes1
Has abstractyes

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Same topicPhilippine History and CultureFrench-language works237,207