Jessica Wilkinson, Portfolio of poems: Biographical Poems 2008-2012
Bibliographic record
Abstract
Research Background: This portfolio of "Biographical Poems 2008-2012", gathers individually published works that explore the potential for poetry to produce new and innovative understandings or representations of historical figures. These works continue my research in the field of Nonfiction Poetry, a term I coined in early 2012, following from the literary-critical work undertaken during my PhD. Contemporary writers engaged in similar explorations include: Jordie Albiston (Aust), Jennifer Maiden (Aust), Judith Rodriguez (Aust), Susan Howe (U.S.) and Michael Ondaatje (Canada). Each of these writers undertake, in different ways, historical and archival research in order to produce extended poems on historical figures. Research Contribution: This portfolio of poems presents distinct explorations of two historical figures: early cinema actress Marion Davies and Australian musician and composer Percy Grainger. Each poem puts forward an attempt to represent an aspect or aspects of that subject's life and experience, using nuances of poetic language-line, rhythm, metaphor, visual play etc.-to 'meet' that character through writing. In other words, this work develops the possibilities of the "biographical poem" tradition by highlighting the significance of the form when writing biography. Research Significance: The merit of this creative work was in part demonstrated through my receiving the Felix Meyer Scholarship (University of Melbourne) in order to research Percy Grainger for these above outputs. As a result of these single poem publications, I was approached by highly regarded poetry publisher Vagabond Press (Sydney) to publish a chapbook (i.e. 16 pages) on Marion Davies, listed above: 'marionette: notes toward the life and times of miss marion davies,' which was reviewed here: http://www.austlit.edu.au/austlit/page/6067765 Following from the success of the chapbook, I was invited to publish a full book on Marion Davies with Vagabond Press, released 2012.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.005 |
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".