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Record W2500792184 · doi:10.20361/g2gp65

Half Bad by S. Green

2016· article· en· W2500792184 on OpenAlexvenueaboutno aff
Colette Leung

Bibliographic record

VenueThe Deakin Review of Children s Literature · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicThemes in Literature Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsWitchWhite (mutation)SisterBrotherFantasyPower (physics)HistoryGirlBlack hairKindnessArtArt historyLiteratureGenealogySociologyPsychologyTheologyPhilosophyAnthropology

Abstract

fetched live from OpenAlex

Green, Sally. Half Bad. New York: Viking, 2014. Print.This young adult fantasy novel tells the story of sixteen-year-old Nathan. Nathan lives in modern England, which is caught in the middle of two warring factions of witches. These witches live undetected amongst humans. The White Witches paint themselves as good and orderly, while Black Witches are known as murderous and violent. At the time of Nathan’s story, the White Witches control much of England, and hunt renegade Black Witches.Nathan is unique, as he is the son of both a White Witch, and a Black Witch. In fact, Nathan is the son of the most terrifying Black Witch alive, Marcus, who eats the hearts of other witches to absorb their powers. Nathan is raised by his grandmother, with his half-siblings Jessica, Arran, and Deborah. He has never met his father. In spite of this, Nathan exhibits tendencies associated with dark witches. He cannot sleep indoors at night, and his strength changes with the moon. The White Witches’ Council constantly watches Nathan, and tries to control him through “assessments” and restrictions on whom he can speak to, and where he can go. Although his grandmother frequently reminds him that he is half-White too, Nathan also experiences abuse from his older sister, and bullying at school. Nathan becomes lonely and angry, although he finds comfort in the young White Witch Annalise, and the kindness of his brother Arran.As Nathan nears his seventeenth birthday, when all witches come into their power through a specialized ritual, the Council takes more drastic actions to control Nathan. He is removed from his family, imprisoned, and subjected to harsh and painful training. The Council hopes to use Nathan as a weapon against his father. Nathan must escape, and find a way to come into his magic by his birthday, or he will die. But, even if Nathan makes it out, he cannot tell who to trust, or how to keep those he loves from danger.Half-Bad presents a complex story with compelling characters, including a well-rounded LGBTQ character who plays an important role. The book starts out slow, using both in media res and a second person viewpoint, which may deter some readers. But, the story quickly builds and switches to a first person viewpoint. The events are strongly enhanced by engrossing descriptions of the British countryside, London, and Switzerland. Easy answers are not provided to readers. No character, including the protagonist, is completely good or bad. Instead, people are shaped by how they are labelled or represented to others, and the actions they take. Some themes may be intense for younger audiences, including descriptions of violence, abuse, death, murder, suicide, torture, and the classification and branding of people. The main character also occasionally uses swear words. Other important themes include: good vs. evil, nature vs. nurture, government control, freedom, forbidden romance, father-son relationships, and anger. It is the first of a trilogy.Recommended: 3 out of 4 starsReviewer: Colette LeungColette Leung is a graduate student at the University of Alberta, working in the fields of Library and Information science and Humanities Computing who loves reading, cats, and tea. Her research interests focus around how digital tools can be used to explore fields such as literature, language, and history in new and innovative ways.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.834
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.006
GPT teacher head0.224
Teacher spread0.218 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations0
Published2016
Admission routes2
Has abstractyes

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