Prefatory Poems and the Openings of Poetry: The Interpoetics of Epistemic Incorporation in the Atlantic World
Bibliographic record
Abstract
The French, English, and Spanish wrote poems about the “New World” to represent it as known rather than unknown in the interpoetics of epistemic incorporation—to take the unknown of the Americas between and among these European cultures to make them known in terms of earlier knowledge. This article focuses on prefatory poems (paratext) and the main poem (text), and especially the threshold between these poets, their interpoetics. It also focuses on beginnings as another threshold and moving across and on. To recognize the recognizable, anagnorisis within the known framework—that is what the texts of exploration and encounter, including poetry, tend to do—can involve misrecognition. Examining dedicatory poems, lyric, pageant, and epic, and how the known and the unknown work in the poetics of representation, this article argues that the interpoetics is between poems, between paratext and text, work and world, a mimesis that involves poems begetting other poems and representing reality.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.038 |
| Scholarly communication | 0.011 | 0.012 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".