The Identity of the Main Character in Life of Pi novel by Yann Martel (Psychology of Literature)
Bibliographic record
Abstract
The objective of this research was to understand comprehensively the identity of the main character in the novel of by Yann Martel. It was a qualitative research with content analysis conducted in Jakarta, from June to August 2013. The data were collected through comprehensive reading to the novel, some relevant books, and articles review in internet. Then, it was analyzed through the psycho-analysis theory. Since this is a qualitative research and the researcher himself is the instrument, most of activities were conducted by the study of literature. It was done by tracing relevant data in novels which showed the developmental phases of the main character from childhood to his teenage in order to know his personality, conflicts, the factors which affect the search for identity, and the efforts made by the main character in his search of identity. Results of this research showed that the main character in the novel Life of Pi by Yann Martel is extrovert, intelligent, earnest and energetic. He is a devout adherent of three religions: Hinduism, Christianity, and Islam. He is also a lecturer at the University of Toronto, and an animal lover.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".