A New Exploration of Roderick Usher’s Death Based on the Ecological Niche Theory
Bibliographic record
Abstract
Roderick Usher is the protagonist of Edgar Allan Poe’s masterpiece The Fall of The House of Usher. Concerning his death, the scholars and critics at home and abroad have discussed a lot but there is no fixed conclusion. Based on the ecological niche theory, this thesis explored Roderick Usher’s death and concluded that his death was a natural outcome as his natural as well as his social niche positions were on the decline because of his failure to have effective communication with the environment he was living in and with the people around him. Furthermore, his niche trend to do nothing to the ever-decaying living environment but to do harm to his twin sister further accelerated the demise of his niche position. It is hoped that this thesis can shed some new light on the exploration of Roderick Usher’s death and work as a kind of tentatively interdisciplinary research between ecology and literature.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.008 | 0.034 |
| Scholarly communication | 0.006 | 0.012 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| 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".