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Record W4244397537 · doi:10.1353/bcc.2017.0022

How to Survive in the North by Luke Healy

2017· article· en· W4244397537 on OpenAlexaboutno aff
Deborah Stevenson

Bibliographic record

VenueBulletin of the Center for Children's Books./Bulletin of the Center for Children's Books · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicPolar Research and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsHEROThe arcticHistoryCrewArcticCivilizationClassicsAncient historyArt historyGenealogyArtLiteratureArchaeologyOceanographyGeology

Abstract

fetched live from OpenAlex

Reviewed by: How to Survive in the North by Luke Healy Deborah Stevenson, Editor Healy, Luke How to Survive in the North; written and illus. by Luke Healy. Nobrow, 2016 197p ISBN 978-1-910620-06-9 $22.95 R Gr. 9-12 This graphic novel follows three plot strands: one about Vilhjalmur Stefansson’s 1913 Arctic expedition on the doomed ship Karluk; another about the 1921 expedition he planned that sent a crew to live on the desolate Wrangel Island in the Arctic; a third about Sully Barnaby, a contemporary professor at Dartmouth dealing with a forced sabbatical after his affair with a student is discovered. Each story involves people who are left behind: the icebound Karluk and its crew are left behind after Stefansson straps on skis and takes off; Ada Blackjack, the Inupiat seamstress on the 1921 expedition, is stranded on Wrangel Island when the rest of the group leaves to seek help; Sully discovers that his frat-boy love has moved on apace from what was clearly to him an insignificant dalliance. The Sully strand is the least satisfying, both because it never really grapples with Sully’s professorial malfeasance and because his loss is so minute compared with the other two. The two Arctic tales, however, are truly haunting: the hero of the first is stout-hearted Captain Bartlett, who rules the ship with an iron first and, with his Inuit compatriot Kataktovik, dog-sleds to an outpost of civilization to arrange a rescue ship after the Karluk sinks; of the second, Ada Blackjack carves out an existence that makes Island of the Blue Dolphins seem like a tropical cakewalk. The tidily drawn and surprisingly colorful panels don’t always make it easy to differentiate one parka-clad guy from another, so readers will need to be on their toes to remember that these are two different (if slightly overlapping) groups of Arctic explorers, but they’ll be affected by the tales nonetheless and hit up Wikipedia at the very least to get more of the story. The book concludes with a text section about the fate of the historical figures and an explanation of the author’s fictionalization of history. [End Page 216] Copyright © 2017 The Board of Trustees of the University of Illinois

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)0.002
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: none
Teacher disagreement score0.063
Threshold uncertainty score0.212

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0040.002
Scholarly communication0.0060.005
Open science0.0010.004
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0630.043

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 head0.010
GPT teacher head0.221
Teacher spread0.212 · 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
Published2017
Admission routes1
Has abstractyes

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