Bibliographic record
Abstract
Dances with Wolves (1988), the masterpiece of Michael Blake, tells the story of a Civil War-era United States Army lieutenant named Dunbar who was dispatched to the American frontier to find a military post, and who eventually blended in the community of the aboriginals, Lakota. Since its publication, there have been many interpretations of the novel. However, no one has carried out research on the novel from the perspective of deep ecology, one of the basic branches of ecocriticism. As all the other writers pondering the relationship between humans and the environment, Blake launched a call on humankind to reflect deeply on environmental crisis and most of his works were brimmed with concerns over the relationship between humans and the environment. This paper intends to interpret Dances with Wolves from deep ecological perspective and to explore the ecological ideas implied in the novel. Firstly, the paper gives a sketch of deep ecology, the ultimate norms of deep ecology and the concept wilderness which the author of this paper will apply to the study. Secondly, the paper expounds the protagonist Dunbar’s Self-realization through analyzing his adventure on the prairie. The paper respectively illuminates his Self-realization from three aspects: Dunbar’s adventure in the wilderness, Dunbar’s intimacy with his initiator Two Socks and Dunbar’s companionship with his mentor Kicking Bird. The last part of the paper is a conclusion that summarizes the social significance of Dunbar’s Self-realization. For the common benefit of the whole ecosystem, Michael Blake, with the book, advocates human beings to cultivate ecological consciousness, to possess the ecological responsibility, to respect the values and rights of all forms of life and to live in harmony with 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".