Japanese Poetry and Nature in Borson's Short Journey Upriver Toward Ōishida
Bibliographic record
Abstract
In her article "Japanese Poetry and Nature in Borson's Short Journey Upriver Toward Ōishida" Shoshannah Ganz shows how the limited focus of research on Roo Borson oversimplifies the poetry and ignores the tradition that Borson is aligning her work with both in form and content: classical Chinese and Japanese poetry and their perspectives on nature. Further, Ganz explores the ways in which Borson's poetry overcomes intuitively the binaries of East/West, human/non-human, and the further binaries within the human/non-human created through representational language. Ganz contextualizes Borson's work within the master/disciple lineage of Chinese and Japanese tradition and explores how Borson incorporates the resonances of Japanese place names and talismanic uses of nature and seasonal words into an Anglophone North American context to show similarly Japanese perspectives on impermanence and the place of humans as product and producer of nature.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".