Bibliographic record
Abstract
This second, revised edition of a pioneering volume, long out of print, presents translations of Japanese Zen poems on sorrow, old age, homesickness, the seasons, the ravages of time, solitude, the scenic beauty of the landscape of Japan, and monastic life. Composed by Japanese Zen monks who lived from the last quarter of the thirteenth century to the middle of the fifteenth century, these poems represent a portion of the best of the writing called in Japanese gozan bungaku, “literature of the five mountains.” “Five mountains” or “five monasteries” refers to the system by which the Zen monasteries were hierarchically ordered and governed. For the monks in the monasteries, poetry functioned as a means not only of expressing religious convictions and personal feelings but also of communicating with others in a civilized and courteous fashion. Effacing barriers of time and space, the practice of Chinese poetry also made it possible for Japanese authors to feel at one with their Chinese counterparts and the great poets of antiquity. This was a time when Zen as an institution was being established and contact with the Chinese mainland becoming increasingly frequent—ten of the sixteen poets represented here visited China. Marian Ury has provided a short but substantial introduction to the Chinese poetry of Japanese gozan monasteries, and her translations of the poetry are masterful. Poems of the Five Mountains is an important work for anyone interested in Japanese literature, Chinese literature, East Asian Religion, and Zen Buddhism.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.899 | 0.875 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".