Bibliographic record
Abstract
Herman Melville is one of the most influential figures in the literature history of the world. He creates an overwhelming novel The Whaling or Moby Dick , which is considered as a bright pearl in the literary treasury of the world. He shapes a group of tragic heroes who dare to challenge and conquer nature. The novel Moby Dick tells a story of a whaling ship named Pequod and its impious, godlike man. Captain Ahab, whose obsessive search for the white whale Moby-Dick leads the ship Pequod and its crew to destruction. This piece of work, a realistic adventure novel, includes a chain of thinkings on the man’s living condition. Realistic recordations and descriptions of white whale and the whaling industry cast the book. The novel Moby Dick displays the author’s special knowledge, skills and rich experience. This paper focuses on the analysis of the main characters – Captain Ahab’s madness, cruelty and heroism, which finally led to his tragic fate. In this process, the theme is revealed: human beings should be in harmony with nature.The purpose of this thesis is to analyze the author’s descriptions of the contents and actions, appreciate the characteristics and fates of the main character, tap into the hidden significance, reflect the work’s artistic value, explore its great realistic meaning, and reveal Melville’s opinion on man and nature – they must be kept in harmony.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.011 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".