Man’s encounter with nature: an ecocriticism analysis of western classic and contemporary novels
Bibliographic record
Abstract
People regardless of race and gender significantly learn as they interact with nature that leads to resiliency, adaptation, connectivity, and the fragility and beauty of life, which helps them build a strong harmony and interaction with it. Through literature, this context was further explored to determine how is it possible for human to challenge the nature. This study aims to discover and explore the relationship of human and nature through a thematic analysis of two award winning novels, “The Old Man and The Sea” by Cuban author Ernest Hemmingway and “The Life of Pi” by Yann Martel, a Canadian writer. Through in-depth analysis, five themes emerged in this study, dominance of nature, respect for nature, spiritual intercession, perseverance, and skills over luck. Symbolisms of the two novels that constitute the themes were also compared and contrasted. This study employed ecocriticism to further understand the rhythm of human and nature’s existence.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".