The Will To Poetry and The Will Of Poetry: Intersubjectivity and Transcorporeality in Virginia Woolf's and Rita Wong's Texts
Bibliographic record
Abstract
The will to poetry is a raw, creative drive to word new wor(l)ds as it imagines a future-in-becoming. The will of poetry, also a creative linguistic drive, is the particular lexicon and episteme a writer is born into; it mirrors reality-in-the-present. Virginia Woolf's A Room of One's Own tells us the writer must become incandescent and speak truthfully in order to channel poetic will ethically. My thesis is motivated by the question: what kind of aesthetic of being can the queer woman writer imagine in a world threatened by heteropatriarchy, neocolonialism, neoliberalism and mass-consumption? Virginia Woolf's and Rita Wong's texts gesture toward an ethic of care grounded in an awareness of our intersubjectivity and transcorporeality. Intersubjectivity suggests a collective consciousness in which we either co-create or destroy each other. By transcorporeality, I mean that our bodies are porous and open-ended systems made up of other bodies, other living organisms.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.039 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".