MétaCan
Menu
Back to cohort
Record W2276211845 · doi:10.20361/g2s30t

Sea of Shadows: Age of Legends by K. Armstrong

2015· article· en· W2276211845 on OpenAlexvenueaboutno aff
Colette Leung

Bibliographic record

VenueThe Deakin Review of Children s Literature · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicThemes in Literature Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsFantasyRomanceEmpireHistoryRest (music)Economic JusticeLiteratureArtLawAncient historyPolitical scienceMedicine

Abstract

fetched live from OpenAlex

Armstrong, Kelley. Sea of Shadows: Age of Legends. Toronto: Doubleday Canada, 2014. Print.This Young Adult fantasy novel tells the story of identical twin sisters Moria and Ashyn. In this mythical world, twin girls are special, because they can sometimes communicate with spirits. This means that when they are babies, twins are submitted to a ritual to see if they are destined to become Keeper and Seeker – magical roles that require the girls to quiet the souls of the damned, and protect the rest of the empire. Bond beasts accompany the twins – a giant wildcat for the Keeper, and a giant hound for the Seeker.Moria and Ashyn live in the village of Edgewood by the Forest of the Dead. Moria is a fiery warrior with a penchant for telling scary stories, and Ashyn is a shy romantic who often doubts herself, although both sisters are very close. The Wastes separate the Forest of the Dead, where criminals are often exiled from the rest of the empire. Every year, during the ritual of the Seeking, the Seeker and her hound must find all the restless spirits of the dead in the Forest, and quiet their souls. Often the dead are exiled criminals or are angry because they were not granted justice in life. The imperial court’s Keeper and Seeker have trained Moria and Ashyn for this ritual, and this is the first year they will perform the Seeking alone.During the Seeking, things quickly go wrong due to forces beyond the girls’ control. As a result, the girls’ village is destroyed, and their friends and family are killed by evil spirits. In the aftermath, Ashyn is separated from her sister. With the few remaining village survivors, Ashyn decides to set out with Ronan, a young thief she met in the Forest of the Dead. She hopes to take her people to safety. Moria follows her sister’s trail with the help of the last of the village guards, the stubborn Gavril, who is himself descended from sorcerers.Along the way, both sisters face mythical beasts, and discover their own strengths and weaknesses. They also deal with loss, and the harshness of a world beyond their village through encounters with bandits, kidnappers, and outcasts. Once the girls reunite, they learn that the failed ritual and the destruction of their village were not accidents. They are forced to warn the emperor and travel to court, where they must learn to navigate the politics of the realm. They also discover one of their companions may not be what he seems.This book is the first in a trilogy, although the journey of the two sisters is a complete story. The novel is told through the viewpoints of both sisters. Many deaths occur, and there are several violent scenes. The story also features creatures from horror stories that might frighten younger readers. Overall, it is a story well suited to young adult audiences, featuring interesting characters and mythology.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 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)0.002
metaresearch head score (Gemma)0.006
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: none
Teacher disagreement score0.043
Threshold uncertainty score0.145

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0060.004
Scholarly communication0.0080.008
Open science0.0010.004
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0430.019

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 head0.015
GPT teacher head0.249
Teacher spread0.234 · 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
Published2015
Admission routes2
Has abstractyes

Explore more

Same venueThe Deakin Review of Children s LiteratureSame topicThemes in Literature AnalysisFrench-language works237,207