Science and Natural Philosophy in the Poetry of Heinrich von Meissen (Frauenlob)
Bibliographic record
Abstract
The poetry of the Middle High German vernacular poet Heinrich von Meißen, better known as Frauenlob (ca. 1250/60–1318), is infamous for its hermeneutic difficulty, derived from the poet’s linguistic novelties and erudite use of intellectual source material. Recent scholarship has rescued the poet from academic obscurity and accusations of mannerist decadence, and now recognizes Frauenlob’s unique place in German literary history, as an author whose work is distinctly dialogic, polysemous, and rationally accessible. This dissertation expands on these conclusions through an analysis of the common literary techniques used in Frauenlob’s three longest works, his leichs, and argues for their role in the incorporation of contemporary natural philosophical information into these poems. Rhetorical devices like synecdoche, enjambment, concatenation, ekphrasis, and personification are used repeated and strategically in the leichs as didactic tools and hermeneutic guides, enabling the audience to augment the text’s overt theological, literary, and philosophical allusions with additional levels of meaning derived from geological science, chemistry, cosmology, and observational astronomy. The presence and recognition of these additional meanings gives important insight into both Frauenlob’s materialist worldview as well as into the intellectual expertise expected of his intended audience.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.009 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".