Sense of Place in Rudy Wiebe’s The Temptations of Big Bear
Bibliographic record
Abstract
The Temptations of Big Bear by Rudy Wiebe focuses on Big Bear’s struggle against the European settlers who take over the land inhabited by the Natives for thousands of years. This impressive depiction of the Western Canadian history is revitalised using vivid portrayal of Canadian prairies highlighting ‘place’ as a crucial aspect in this novel. This paper, therefore, aims to highlight the various portrayals of place in the novel The Temptations of Big Bear before progressing to examine the relationship between the place and its inhabitants depicted in the novel. In order to attain these two objectives, two concepts are applied in this study - place (physical setting) and sense of place (territorial bonding). The findings of this study reveal that the places portrayed in the novel can be classified into two main categories: landscape and dwelling place of buffalo. Then, with the concept of sense of place, the relationship between the Natives and each of these places is foregrounded. Most importantly, this study reveals that the relationship between the place and the inhabitants are bidirectional.
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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 | 0.015 | 0.025 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| 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".