Bibliographic record
Abstract
Research Background Cole Swensen writes: 'poetry...is not only perfectly capable of conveying truth; it can also attain a unique relationship to truth because it implicitly acknowledges and interrogates the limitations of language' (2011, 58). This portfolio of 'nonfiction poems' gathers individually published works that continue my scholarly and creative-practice research in the field of 'nonfiction poetry' to explore how poetry is capable of representing nonfiction subject matter in new and productive ways. Contemporary writers engaged in similar explorations include: Jordie Albiston (Aus), Susan Howe (US), Rita Dove (US) and Michael Ondaatje (Canada). Each of these writers undertake, in different ways, historical and archival research in order to produce poems on historical figures, while also at times experimenting with writing autobiographical poetry. Research Contribution Each poem in this portfolio explores intersections and tensions between factual 'data' and the poetic form. The poems employ nuances of poetic language-line, rhythm, metaphor, visual play etc.-in an attempt to represent an aspect(s) of the subject's life and experience, through writing. In other words, these poems develop the possibilities of the "biographical" or "autobiographical" poem tradition by highlighting the significance of components of form when it comes to biographical writing. Research Significance These separate works were published in four of the most well-respected Australian literary journals in my field: 'Cordite', 'Westerly', 'Australian Poetry Anthology' and 'Overland'. 'Apollon Musagete' was subsequently republished in 'Best Australian Poems 2017'. Three of the poems were produced as outcomes of research conducted in the NY Public Library and Houghton Library (Harvard) supported by the prestigious Marten Bequest Travel Award. The autobiographical work ('Reflected') was produced as a result of an international exchange program funded by an Australia-Korea Foundation grant.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.075 |
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; both teacher heads agree on what is shown here.
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".