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Record W561706265 · doi:10.20361/g2mk6c

The Innocence Device by W. Kowalski

2015· article· en· W561706265 on OpenAlexvenueaboutno aff
Kimberley Morton

Bibliographic record

VenueThe Deakin Review of Children s Literature · 2015
Typearticle
Languageen
FieldComputer Science
TopicCybercrime and Law Enforcement Studies
Canadian institutionsnot available
Fundersnot available
KeywordsInnocencePrisonGuard (computer science)LawCriminologyHarmSociologyPolitical scienceComputer science

Abstract

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Kowalski, William. The Innocence Device. Victoria, BC: Raven Books, 2014. Print.From award-winning author, William Kowalski, comes another thought-provoking, quick-read, thriller, The Innocence Device. Set in the year 2147, we meet Chago, a twenty-four year old prisoner in the JustiCorps McDowell prison-city. Each day is filled with fear, misery, and extreme poverty for many living within the prison-city walls. The only gift in Chago’s wretched life is his son, Jim-Jim, born to a female prison guard. With overcrowding and prison living conditions growing worse each day, JustiCorps develops a “good and merciful” solution. Prisoners will have the choice to walk through the newly developed Innocence Device, a high-tech machine that the Warden claims can accurately determine a prisoner’s innocence or guilt. If the device determines an inmate to be truly innocent of his crimes, he receives immediate freedom. If guilt is decided, death is instantaneous. Many prisoners choose to risk their lives for the chance at freedom, but too many good inmates are struck with unexpected death. It is soon discovered that the device is rigged, and the prisoners revolt. The highest-ranking prisoner, Krios, takes control of the prison-city, and establishes a rule worse than before. After Jim-Jim’s mother is executed by Krios, Chago is sent outside the prison walls to dispose of her body. Here, he realizes the outside world is not what he was led to believe, but despite this, chooses to return to the prison. Chago soon finds himself in a position of power, and so, must decide whether to embrace this power or save what he values most.Chago, although simple and unassuming, is a character that many readers will cheer on to due to his familiar struggles with bullying, fear, authority, and love for family. Although his resourcefulness and ingenuity aids in his success, it does not seem believable at times, and leaves the reader questioning whether his success was just luck or actually a result of his unexpected cleverness. He is, however, a character that strikes emotion, and readers truly want him to win in the end. Yet, with little time to develop plot, many situations are left unexplained, and readers are left to question why certain things are the way they are, or how situations came to be. A stretch of the imagination may be needed in some places, and with a serious tone, this book may not appeal to those looking for a lighthearted tale.Intended as an adult fiction book for English language learners, this book would work well for those high school students who are reluctant and/or struggling readers. The writing is fairly simple in style, with short sentences and short chapters. This is a positive, however, as it allows for students to read small sections at a time, lessening frustration. Simple language, mixed with the occasional challenging word, also presents opportunities for literacy development.Despite some flaws in plot and a lack of detail, the relevant themes, a unique setting, and timely suspense, this book will engage young adult readers, and certainly be a popular addition to any school library.Recommended: 3 out of 4 StarsReviewer: Kimberley K. MortonKim Morton is a secondary History teacher and Learning Coordinator with the Saskatoon Public School Division. She is currently working toward her Masters of Education, specializing in Teacher-Librarianship, through the University of Alberta. She strives to make research and inquiry meaningful, relevant, and fun for her students, and is looking to gain more experience with current technology, trends, and tools. She enjoys sports, is an avid reader of historical novels, and loves going to the movies.

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)0.001
metaresearch head score (Gemma)0.003
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: Review · Consensus signal: Review
Teacher disagreement score0.069
Threshold uncertainty score0.232

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0040.005
Open science0.0010.002
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0690.085

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 head0.013
GPT teacher head0.269
Teacher spread0.256 · 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
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
Published2015
Admission routes2
Has abstractyes

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