The Transpacific Travel from India to Canada in Life of Pi by Yann Martel and Its Link to Transculturality and Transdisciplinarity
Bibliographic record
Abstract
Patrick ImbertUniveristy of OttawaCanadaThe goal is to see how the transpacific travel of the immigrant Piscine from India to Canada in the best seller and Booker Prize novel Life of Pi allows us to revisit the dynamic of exclusion, and the idea of nation and place as well as to recognize alterity in perspectives emphasizing more transculturalism than multiculturalism. This anthropo-thematic analysis will lead us to a theoretical perspective based upon the comparison between trans-multi-interdisciplinary and trans-multi-intercultural perspectives and to establish links between the trans, the multi and the inter in the context of the legitimacy of symbolic and geographic displacements and of multiple encounters as they are linked to the Americas.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".