Making Canada while Narrating it: Michael Ondaatje’s "In the Skin of a Lion"
Bibliographic record
Abstract
This article addresses the themes which, unquestionably, Michael Ondaatje’s In the Skin of a Lion deals with, starting from an exploration of the formal choices structuring the book. Specifically, it argues that positing Patrick Lewis as (an impossible) narrator goes a long way in reinforcing formally Ondaatje’s thematic concerns, namely, the problematic relationship between center and periphery, between Toronto documented official history and the undocumented and unofficial stories of its protagonists.Costruire il Canada narrandolo: In the Skin of a Lion di Michael OndaatjeQuesto articolo affronta i temi che sono al centro del romanzo di Michael Ondaatje In the Skin of a Lion a partire dalla presentazione delle scelte formali che strutturano il libro. In specifico, il lavoro dimostra come indicare Patrick Lewis come narratore (impossibile) abbia l’effetto di rispecchiare formalmente i temi cari all’autore, in modo particolare, il rapporto tra centro e periferia, tra la storia ufficiale documentata di Toronto e le storie invisibili dei suoi protagonisti.
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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 | 0.022 | 0.013 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".