Symbolic Cognition in Poetic Experience: Re-representing the Paraphrase Paradox
Bibliographic record
Abstract
Abstract This article considers an apparent tension between, on the one hand, a widespread belief among literature teachers that the appreciation of a poem involves an experience of form-content inseparability and, on the other hand, these same teachers’ use of paraphrase to encourage appreciation. Using Terrence Deacon’s model of art experience, I argue that the tensions of this ‘paraphrase paradox’ mirror tensions inherent in poetic experience. Section II draws upon work by Rafe McGregor, Peter Lamarque, and Peter Kivy to frame an approach to the form-content distinction, and to offer a brief overview of the paraphrase paradox. Sections III-IV summarize Deacon’s model of aesthetic experience, and argue that this model implies that poetic experience both triggers an impulse towards paraphrase, and frustrates this impulse. Section V looks at implications for the poetry teacher’s attempts to navigate the paraphrase paradox. Section VI tests these implications through an analysis of Philip Larkin’s poem ‘Faith Healing’.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".