Dwelling in the Human/Posthuman Entanglement of Poetic Inquiry: Poetic Missives to and from Carl Leggo
Bibliographic record
Abstract
This inaugural Dr. Carl Leggo Memorial Lecture on Poetic Inquiry was delivered at the 7th International Symposium on Poetic Inquiry on October 3rd, 2019. I share a poetic conversation I have crafted out of Carl’s work that allows me, and all of us, to enter into a continuing dialogue with Carl’s words, which survive and will live on without his earthly presence. I discuss the process I undertook to create these poetic missives, in my voice and Carl’s, following the dialogue. All of the work beginning with “Dear Monica” are found poems created from Carl’s writing—his prose, not his poetry. My own poetic messages to Carl are mostly original, although they include a bit of found poetry from the literature on posthumanism. And the abecedarian poem is definitely inspired by Carl’s love of this type of poem, and his playful joy, always, in exploring the possibilities of language and poetry.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".