Space narrated in recent multicultural literature in Canada (Ondaatje and Mistry)
Bibliographic record
Abstract
The question I would like to raise in my paper is how spacialization is manifest in recent Canadian writing. Spacialization has always been part and parcel of the literary fabric of Canada but I think it gained new dimensions particularly in the writings of immigrants. Their Canadian experience has changed their view of the "old world". Existence be it individual or communal is spacial, and space is a continuum in more than one sense of the word. To my knowlege the spatio-temporal level of identity formation still needs further investigation, therefore my paper would fill a gap in ethnocriticism. I shall concentrate on two novels: Running in the Family (1982) by Michael Ondaatje and Such a Long Journey (1991) by Rohinton Mistry.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.065 | 0.022 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".