The Criticism of Evasion: The Non-literary Margins in T. S. Eliot's Early Criticism LA CRITIQUE DE L'EVASION: LES MARGES NON-LITTERAIRES DES PREMIERES CRITIQUES DE T.S. ELIOT
Bibliographic record
Abstract
This paper traces the non-literary margins in the youthful criticism of T. S. Eliot, focusing exclusively on the early essays in which he assumes an aesthetic stand in his early years as a critic. In Tradition and Individual Talent, Function of Criticism, The Metaphysical Poets, besides other essays, Eliot pretends that literary appreciation/criticism can be practiced in isolation from any external influence, and that principles of criticism are purely literary in their origin as well as in their practice, that of establishing the value of the literary works. Relatedly, Eliot proposes that 'emotions', 'feelings' and 'experiences' in the literary work can be evaluated without connection to their non-literary margins. This paper explodes such claims by suggesting that non-literary margins dominated and shaped the early critical formulations and
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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 | 0.008 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.046 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.009 |
| 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 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".