“We account the whale immortal in his species, however perishable in his individuality” An Exploration of Social Knowledge in Herman Melville’s Moby Dick
Bibliographic record
Abstract
Herman Melville’s Moby Dick, or, The Whale is a book about ways of knowing. The authority of experience is front and centre: the author had been to sea and several times and had seen great whales close up, and his novel places the reader in a whaleboat within reach of a whale’s powerful flukes. But Moby Dick opens with a long list of quotations, “higgledypiggledy whale statements,” giving the reader fair warning that the author’s reading will be as important as his whaling. Bookish science blends with the practical knowledge of men whose job is to transform whales into a valuable commodity. Ellen Jamieson compares the collective, cultural knowledge of whalers to the behaviour, and culture, of whales, exploring the analogies, in some cases very deliberate, that Melville constructs. She concludes: “Perhaps by showing both the whales and the men as social units in their respective species, and subsequently depicting their interspecific interactions and responses to each other, Melville is anticipating an environmentalist claim about the importance of preserving the diversity of the natural world to the maximization of various forms of knowledge.” —Dr. Bruce Greenfield
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.042 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".