Origin of the spaces, a Darwinian poetics of identity transformation and the long prairie poem
Bibliographic record
Abstract
What we find in the poetry anthology 'a'/' long prairie lines,' the source-book for this analysis--particularly in the "contemporary" poems written in the last 30 years (following Whyte's 'Homage': 'Henry Kelsey') are the writings of a "movement": Canadian prairie postmodernists. However, the Derridean credentials of these writers have been called into question by Diane Tiefensee in her book 'The Old Dualities.' The "discrepancies" between Derridean theory and Canadian postmodernist practice, including Tiefensee's, can be revealed by examining the ways in which Derrida's own metaphysical presuppositions about language and self serve to conceal and suppress a 'material' basis for phenomena usually considered "metaphysical," such as identity, language, meaning and consciousness. I articulate a model for such a strictly material account, namely Darwinian evolution described as an information process. I then follow with an account of the literary and cultural terrain that necessitated the adoption of post-modern poetic strategies and conclude with an examination of the poetics themselves.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.041 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".