Bibliographic record
Abstract
The understanding of the relationship between nature and art deeply influences our environment. With rich images of nature in her poems, Emily Dickinson’s identity as a gardener is a necessity to her literary career, for all her observations from nature occur in her garden. As a gardener and a hermit, her “nature”I s all about her garden, which is a curious phenomenon worthy of discussion, for garden is an existence between pure nature and artificial creation: All plants are natural but people can choose them and hybrid them. Emily plans her garden as natural as it could be, and in her poem she also says that Eden is more beautiful, so her attitude for “nature” and “art” is obvious, she clearly expresses that the ideal nature excels nature, and nature excels art. In her more natural garden, there is many images with emphasis again her attitude towards nature and art, for instance, music as an image can also show her preference between nature and art. In spite of the beauty of artificial music, the natural music like bird songs is more beautiful, and the music of the heaven excels the former again. Emily Dickinson’s ecological view of nature and art provides another interesting angle to look at ecological literature, and it is necessary to regard her as an ecological writer.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.014 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| 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".