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Record W2507111197 · doi:10.20361/g23g72

The Lovely and the Lost by P. Morgan

2016· article· en· W2507111197 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
KeywordsTrilogyDemonAllianceBrotherFantasyArtTortureGuard (computer science)Art historyLiteratureHistoryLawPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Morgan, Page. The Lovely and the Lost. Toronto: Doubleday Canada, 2014. Print.This young adult fantasy novel is the second in a trilogy, the first of which is The Beautiful and the Cursed. This story follows three siblings: Grayson, Gabby, and Ingrid Waverly, and their roles in a supernatural world of angels, demons, and gargoyles hidden within the streets of Paris in 1900. In the events of the first novel, sisters Ingrid and Gabby rescued their brother Grayson from kidnap and torture at the hands of the fallen angel Axia. At the same time, they became involved with the Alliance, a secret order that seeks to destroy demons. They also learned about Luc and other Dispossessed, better known as gargoyles, who are duty bound by angels to guard old buildings and the people who live in them. Luc was the gargoyle watching over the Waverly family when they moved to an old abbey in Paris.Although Grayson has been rescued, the Waverly’s are not safe yet. Ingrid is special. She has both demonic and angelic blood, giving her unique powers. Her blood can be used to command gargoyles and Axia still seeks this ability. Others may also wish to use Ingrid for their own ends, including the Alliance, and the Daicrypta, a group of humans who capture demons and attempt to control them. These events are complicated by the emergence of Dusters, or human children with demon blood.The Waverly’s have the protection of both the Alliance and the Dispossessed, but they must prepare themselves for dealing with Axia. Ingrid is trying to master her lightning demon powers. She also has growing feelings for the gargoyle Luc - a love forbidden by the angels. Gabby wishes to join the Alliance and learn how to fight, but she is also dealing with a disfigurement she suffered in the first book. Suitors from the Alliance also court both the girls. Grayson tries to process how his torture changed him, and fights with the part of himself that is a hellhound. All of this is made more difficult when the Waverly’s narrow-minded and controlling father comes to town, and by the presence of a new gargoyle in the abbey named Marco, assigned to help Luc protect the siblings.The Lovely and the Lost is a sequel that stands well on its own, and that will appeal to female demographics. It further explores the story’s mythology involving angels, the Dispossessed, and the Alliance. As in the first book, this mythology is influenced by both the Mortal Instruments book series and the 1990s Gargoyles television show, although it is still original. The story is told in multiple viewpoints, which may deter some readers. It also ends with many open-ended and urgent questions. As in the first book, mythology is well explained in approachable language. Themes explored include repercussions of trauma, beauty, madness, forbidden love, love triangles, and a fantastical twist on angels and demons.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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.736
Threshold uncertainty score0.525

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.004
GPT teacher head0.207
Teacher spread0.203 · 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.

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
Published2016
Admission routes2
Has abstractyes

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