Bibliographic record
Abstract
In The Structure of Complex Words, Empson distinguishes Mutual Comparison from Mutual Metaphor. This distinction does not hold. There is only one trope, but one, lit up by Empsonian analysis, well worth study. Both Mutual Comparison and Mutual Metaphor turn on part-for-whole relations rather than on metaphorical ones of comparison. With Mutual Comparison, vehicle and tenor are so fused as to suggest, not so much comparison, as a sharing in an encompassing generality; with Mutual Metaphor, the hierarchical relation of vehicle and tenor collapses into an equal relation of two parts, each standing for a whole, an elusive ground encompassing both. With both figures, the relation to a greater whole suggests being in touch with the nature of things, an approach to the pantheistic ground Empson declared might alone be worshipped without shame. Especially attractive in Empson's explorations is that, in analyzing the tricks of language, he accepts these tricks as ways the mind naturally works.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| 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".