Tonal iconicity and narrative transformation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
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 | 0.000 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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 it