An Analysis on the Protagonist’s Tragedy from Man-Place Relation in To Build a Fire
Bibliographic record
Abstract
As one of Jack London’s famous northern frontier novels, To Build a Fire is a story about an unnamed protagonist called “the man” who, in his adventure to cross the polar Yukon River Territory, freezes to death finally. Most studies about it analyzed the power of nature demonstrated in this story. However, in this confrontation between man and nature, there are no studies about the protagonist’s tragic ending, which plays an important role in dealing with the relation between man and nature. In this paper, in conjunction with Yi-Fu Tuan’s theory of man-place relation, the reason of the protagonist’s tragedy is explored from two aspects. One is the desire of the protagonist to escape away from the old place and leave for the new place, the other is the disharmonious relation between the protagonist and the new place. In the process of analyzing, the relationship among the protagonist, the old place (America) and the new place (Yukon River Territory) is revealed, which enlightens human that only the harmonious relation between man and place can achieve the long-term development of man and nature .
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".