The Dream of a Journey to the East: Mystery, Ritual and Education in Hermann Hesse’s Penultimate Novel
Bibliographic record
Abstract
The Journey to the East is Hermann Hesse’s most deeply personal book. This enigmatic novel, with its deceptively simple narrative structure, lends itself well to multiple interpretations. To date, however, little attention has been paid by educationists to the book. This paper attempts to address this lacuna in the literature, beginning with an examination of the autobiographical and dream-like qualities of the novel. This is followed by a detailed analysis of the ritual of confession undertaken by H.H., the narrator and central figure in the book. H.H. lives in despair following the apparent dissolution of the League of Journeyers to the East. He seeks to overcome his despair, and learns the League is alive and well, through the character of Leo. At the end of the book H.H., having confessed his ‘sins’ and faced both his League brothers and himself, believes he has found the answer to his troubles. This paper argues that in his solution, H.H. fails to grasp of the importance of education, questioning and critique in self understanding and development. This being so, it is suggested, he will be unable to make the most of the knowledge available to him through the League archives, and his reflections on himself, Leo and the purpose of his existence will have only limited lucidity. He will, the paper concludes, have a long way to go on his journey to ‘the East’.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.016 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| 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".