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Record W2966053644 · doi:10.20361/dr29436

Curiosity: The Story of a Mars Rover by M. Motum

2019· article· en· W2966053644 on OpenAlexvenueaboutno aff
Thomas Pasterfield

Bibliographic record

VenueThe Deakin Review of Children s Literature · 2019
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSpace Science and Extraterrestrial Life
Canadian institutionsnot available
Fundersnot available
KeywordsCuriosityNarrativeMars Exploration ProgramSpace (punctuation)AestheticsAstrobiologyPsychologyArtComputer scienceLiteratureSocial psychology

Abstract

fetched live from OpenAlex

Motum, Markus. Curiosity: The Story of a Mars Rover. Candlewick Press, 2018. Curiosity: The Story of a Mars Rover, written and illustrated by Markus Motum, would be a welcome addition to any classroom’s library. With exceptional pacing and flow, Motum takes us through the true story of one of science’s great achievements: successfully landing a rover on Mars. Many young readers have an inherent interest in outer space and science fiction. In this book, Motum expounds the science of science fiction in detailing the story of how Curiosity ended up on Mars (where it still roves today) in a somewhat narrative form. It would be appropriate for all grade levels, though younger grade students would likely need experienced help in order to read it. The font size and colour vary making them readable to most audiences, and they serve the story well. The story is told from the point of view of the rover itself, named Curiosity. It begins by introducing itself as if it were a sentient creature before it goes back to the beginning, in a very cosmic sense, to plant its story within the wider view of space exploration in general. Motum’s choice in this case allows the reader to gain greater perspective for Curiosity’s story. Curiosity itself is as developed as it needs to be for the purposes of the narrative; that is to say, Motum does not imbue the rover with emotion or opinions within the story. However, the emotions and opinions of the astronauts, scientists and engineers who are namelessly featured throughout the story are indeed explored, which gives a sense of urgency and peril as we travel alongside Curiosity on its adventure. In addition to authoring this picture book, Motum also illustrates it in a mixed media style that is both alien and historic. The solid colours and painted portions evoke the artistic style of old postcards from days gone by, while simultaneously making the Martian landscape seem exotic and alien, as if Mars were a travel destination, welcoming travellers like Curiosity. Though beautiful, the illustrations do not add much information to the story of Curiosity; in some instances, they provide some spatial context like when Curiosity tries to land on Mars. The illustrations lend a hand to create atmosphere, both in the context of the story and for the reader. Some of the text is also placed in unconventional locations on the page, so the text and the illustrations work together to create meaning and story. One finds that the eye is drawn to specific parts of the image on each page, and it is masterfully done. For these and many other reasons, Curiosity: The Story of a Mars Rover is a great example of modern children’s literature. It is suitable for a variety of ages, and it is worthwhile reading in many ways. Highly Recommended: 4 out of 4 stars Reviewer: Thomas Pasterfield Thomas Pasterfield is a fourth year undergraduate student in Elementary Education at the University of Alberta. His reading interests include fantasy novels, vegetable gardening manuals, and religious books.

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: Other · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.003
Scholarly communication0.0040.005
Open science0.0010.004
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0080.003

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 head0.003
GPT teacher head0.226
Teacher spread0.223 · 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".

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Citations0
Published2019
Admission routes2
Has abstractyes

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