"That Eternal Language," or Why Coleridge was Right about Imaging and Meaning
Bibliographic record
Abstract
One of the common mysteries of art, and a barrier to our understanding of Coleridge's claim that natural form lies at the heart of knowledge, is the problem of how it is that art can embody meaning in its sensuous forms—for instance, in visual, tactile or auditory "images." To our common way of thinking, this seems mysterious, for we usually think of thinking as something which is propositional and linguistic, or (though less popular these days) as being in some sense "pure" and above both the senses and language. But while propositional thinking is certainly a dimension of our mental experience, we should not let it blind us to the more fundamental ways in which we perceive and understand the world through the senses. Thus we should not think of syllogistic argument as the paradigm for thought, as the Anglo-American philosophical world has tended to, nor should we think of thought as paradigmatically linguistic in the way the literary theory of the last thirty years has suggested. Rather, we should find that paradigm in those moments when we arelookingat the world (looking out of the window at a tree, for instance). Concrete sensuous form, or image, I shall argue, provides a more fundamental paradigm for thought—a paradigm which art brings to the fore, and which is also fundamentally Coleridgean.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.053 |
| Scholarly communication | 0.006 | 0.014 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.012 |
| Insufficient payload (model declined to judge) | 0.005 | 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".