Nanook: He Is Coming: A dystopian young adult novel from Brazil1
Bibliographic record
Abstract
This article discusses Nanook: ele está chegando (‘Nanook: He Is Coming’) (2016), written by Brazilian author Gustavo Bernardo, a Brazilian dystopian apocalyptic young adult (YA) novel influenced by an Inuit legend that mixes science with mysticism and human subjectivity. In this book, 15-year-old Bernardo emerges as a harbinger of events that will occur in the narrative, when he affirms that ‘Nanook is coming’. From that point onwards, climatic and supernatural events happen, which affect the whole world, with consequences for Ouro Preto, the former capital of the state of Minas Gerais, Brazil, where the story takes place. These consequences include snowfalls, increasingly intense cold and the disappearance of some animals. Nanook: He Is Coming was selected by the Brazilian National Textbook Program (PNLD – Programa Nacional do Livro Didático) for high school students. This programme is designed to evaluate didactic, pedagogical and literary works and make them available for free to Brazilian students what are studying at public schools. This article concludes with an analysis of the text, using critical tools, which include Reception Theory to examine the communicability of the novel with its implicit reader, the dialogical relationship with that reader and the novel’s language, stylistic characteristics, the constitution of its narrative operators and its ideological discourse.
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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 | 0.010 | 0.007 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".