Bibliographic record
Abstract
Abstract Building on recent research, this paper argues that left-right bilaterality and symmetrical reversibility play only a limited role in the embodied grounding of chiasmus and its cognitive and cultural affordances. Expanding such accounts to feature the bodily semiotics of vertical and transverse modeling is necessary. To better demonstrate this point and elaborate on its implications, the paper presents two narrative case studies: Sylvia Plath’s short story ‘Johnny Panic and the Bible of Dreams’ and Episode 1 of the podcast Dolly Parton’s America, entitled ‘Sad Ass Songs’. Both narratives evoke explicitly embodied blends involving analogous upper-lower body part systems; both integrate these blends with chiastic dynamics that are explicit in the syntax and implicit in the discourse pragmatics of each text; and both texts use these chiastic macro-blends to frame transformations that function as each narrative’s interpretive locus. I explicate these sense-making strategies through a semiotic discourse analysis, applying insights from Peircean semiotics and cognitive linguistics to show how chiastic meaning can be grounded in the coalescence of oppositional but complementary layers of tonal iconicity (felt resemblances) referenced by diagrammatic types and tokens, all of which are implicit in, and intrinsic to, the lived experience of habitual upright posture.
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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 | 0.001 | 0.012 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".