Conceptual Basis for William Wordsworth’s Rejection to Science
Why this work is in the frame
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Bibliographic record
Abstract
Much of the literary criticism devoted to interpreting the work of W. Wordsworth tries, on the one hand, to overcome and moderate, or, on the other hand, to directly accept the manifest opposition against science and scientific practices that the poet maintains, mainly throughout his work The Prelude. I will examine the conceptual basis of such hostile attitude by analyzing the lexicon used in this work. The results obtained permit confirming Wordsworth’s hostility towards science, and more precisely, the prejudice that modern science would not allow a humanized perception of nature. But I argue that this attitude is due to a latent enchanted worldview, in a Weberian sense, more suitable for the sentimental description than for the perception and description of the natural landscape based on the explanatory knowledge of nature.
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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 | 0.001 | 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 | 0.001 | 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) | 0.004 | 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 it