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Record W6991352933

Grief Ankle: on Ekphrasis as Feeling through Memory, Medium, and Meeting

2024· other· en· W6991352933 on OpenAlexaff

Bibliographic record

VenueOCAD University Open Research Repository (OCAD University) · 2024
Typeother
Languageen
FieldEarth and Planetary Sciences
TopicMarine Biology and Ecology Research
Canadian institutionsOntario College of Art and Design
Fundersnot available
KeywordsGriefFeelingPsychoanalytic theoryRelation (database)SculpturePaintingIdentity (music)Poetry
DOInot available

Abstract

fetched live from OpenAlex

This thesis makes the case for ekphrasis – the description of the visual in language – as a three-part model for movement: from origin, accumulation, to release. The written portion consists of three ekphrastic essays to/about art objects — paintings of mothers, photographs of trans friends as children, and sculptures of unmade beds — sentimental objects, theoretical sources, and dear friends. Each chapter corresponds to each of ekphrasis’ three movements, culminating collectively to ekphrastic release. The first chapter establishes ekphrasis’ psychoanalytic origin: as ekphrasis repeats the grief of the first loss through mimesis’ recall, the memory changes, transforming into a kind of forgiveness. The second chapter builds a theory of trans materiality, in which the orientation/phenomenological “purposefulness” toward a word-object moves the self toward the self, and the word-objects accumulate as one’s life becomes one’s life. The third chapter uses the ekphrasis of accessible text/image description as a scale model for interpersonal world building, an ekphrasis which does, which tangibly imagines different intimacies and futures in our co-constructed common grounds. The project also includes a commissioned performance by the poets Sanna Wani and Elizabeth Mudenyo at Xpace Cultural Centre on March 16, 2024. More information about this performance and its relation to the written thesis can be found in Appendix A’s support paper.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.751
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.002

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 head0.050
GPT teacher head0.293
Teacher spread0.243 · 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
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
Published2024
Admission routes1
Has abstractyes

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