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Record W2256062902 · doi:10.20361/g2ts35

Puppet by E. Wiseman

2012· article· en· W2256062902 on OpenAlexvenueaboutno aff
Jorden Smith

Bibliographic record

VenueThe Deakin Review of Children s Literature · 2012
Typearticle
Languageen
FieldPsychology
TopicDeath Anxiety and Social Exclusion
Canadian institutionsnot available
Fundersnot available
KeywordsHatredJudaismCeremonySisterNarrativeSeriousnessPraiseFalse accusationHistoryReligious studiesPsychoanalysisSociologyPsychologyLiteratureLawArtPhilosophyTheologySocial psychologyAnthropology

Abstract

fetched live from OpenAlex

Wiseman, Eva. Puppet. Toronto: Tundra Books. 2009. Print. Worthy of its numerous awards, Puppet delivers an intriguing narrative of a notorious “blood libel” case in Hungary. Negotiating cultural divides and morality, the protagonist explores her own beliefs to make sense of the horror she personally observes in her community. Loosely based on historical events, Wiseman explores a tragic incident of anti-Semitism and the crippling effects of blind hatred. Set in Hungary during the late 19th century, the story is told from the perspective of Julie, a teenager whose mother is dying of cancer and whose alcoholic father is prone to violence. Julie’s love of her mother and sister sustains her throughout the adverse conditions she faces. Although aware of a latent tension based on religious differences in her quaint village, Julie is accustomed to anti-Semitic sentiments but does not comprehend the potential seriousness of the issue. Julie seems indifferent and confused by the comments she hears; her family has been helped by the Jewish doctor in town and she believes them to be good people regardless of their religion. When Julie’s friend, Esther, disappears one morning, the community seeks suspects and sets their sights on the synagogue. Driven by malicious detectives, members of the community conspire to accuse five Jewish men of using the girl’s blood for a Passover ceremony. Morris Scarf, a Jewish boy, is coerced into accusing his father and four other men of “blood libel”; although the accusation will save him from abuse at the hands of his captors, it separates him from his family and religious community. Julie witnesses, first-hand, the manipulation and abuse used to coerce testimony from Morris and his brother. She does what she can to stop the gossip and coercion, however as her community falls apart around her, Julie struggles to deal with her own tragedies. Losing her mother, separated from her sister, and removed from her home by her abusive father, Julie bonds with Morris through their respective suffering. Julie pursues work in a nearby town, where Morris is being held and does what she can to help him. Wiseman weaves the tragedies of Julie and Morris together through a series of too-convenient coincidences that are easy to overlook as the tension builds. As Julie learns about the balance of survival and morality, she finds the inner strength to stand up for her beliefs—whatever the cost. Wiseman’s choice of historical incident is fascinating and her retelling is compelling. As a protagonist, Julie is an intelligent and resourceful young woman; she survives the abuses rained upon her, rises to continual challenges, and stands up for truth. I would recommend this book for teens able to cope with scenes and suggestions of violence, and those interested in the history of Judaism in Europe. Highly recommended: 4 out of 4 stars Reviewer: Jorden SmithJorden Smith joins the team as a book reviewer. Jorden is a Public Services Librarian in Rutherford Humanities and Social Sciences Library at the University of Alberta. She is an avid fiction reader and subscribes to Hemingway’s belief that “there is no friend as loyal as a book.”

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.267
Threshold uncertainty score0.893

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.2670.182

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 head0.007
GPT teacher head0.297
Teacher spread0.290 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2012
Admission routes2
Has abstractyes

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