NATIONAL IDENTITY, TRANSNATIONAL LITERATURE: A REVIEW ON CANADA’S FICTION AND ITS MULTIFACETED GLOBALISATION
Bibliographic record
Abstract
Both Brazil and Canada exist in-between the status of colony and coloniser, tradition and modernity, past and future; belonging to the New World, there is a lot one might learn from the other. These countries are spaces that literature might rethink ontologies – precisely in terms of identity. Literature reflects one’s society, examining and projecting manners for changing or asserting its epistemes. The national myth is nothing but a myth, and, as such, its reality gaps can only be filled in by other illusory meanings. Myths can destroy us; but they can also help us resurrect as nations. Within this brief study, I decide to accept such challenge, and to depart from the identity condition of Brazil to concoct a sketch of what might have been going on in Canadian fiction during the process of globalisation. The palpability of national identities, their relevance and vitality, shall be tested, for if I say “I am not a Canadian, I’m Brazilian” I need to know what I am talking about. Do I?
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.010 | 0.021 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".