"Hiersein" in Rainer Maria Rilke's Seventh and Ninth Duino Elegies
Bibliographic record
Abstract
This thesis is an analysis of the word “Hiersein” according to its meaning in the context of Rainer Maria Rilke’s Duino Elegies. The word “Hiersein”, a noun most accurately translated into English as “being-here”, appears only in the seventh and ninth of the ten Elegies. It is, however, a central concept of the Elegies and represents an essential stage in their progression.\nThe content of these two poems involves descriptions and imagery that further aid the reader in understanding what Rilke truly intended in his use of this word. In addition to the interpretation of these texts, analyses of two correlating texts, a segment of Walter Pater’s The Renaissance and Ein Brief by Hugo von Hofmannsthal, are included to provide further insight into the concept of “Hiersein”. In spite of their focusing primarily on the topic relating to “Hiersein”, both the seventh and the ninth Elegies possess elements which contradict it. These contradictions are also addressed here.
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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 | 0.001 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".