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Record W2277001614 · doi:10.20361/g20k5d

Ecosystem Series: “Who Needs an Iceberg?”, “Who Needs a Jungle?”, “Who Needs a Swamp?” by K. Patkau

2012· article· en· W2277001614 on OpenAlexvenueaboutno aff
Sandy Campbell

Bibliographic record

VenueThe Deakin Review of Children s Literature · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicPolar Research and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsJungleEcosystemSwampGlossaryGeographyEcologyArchaeologyBiology

Abstract

fetched live from OpenAlex

Patkau, Karen. Ecosystem Series: “Who Needs an Iceberg?”, “Who Needs a Jungle?”, “Who Needs a Swamp?”. 3 vols. Toronto: Tundra Books, 2012. Part of elementary public school science curriculum, at least in Alberta, for many years has included a study of ecosystems. Many publishers of children’s non-fiction have published series of ecosystem-specific books in support of these curricula. Toronto author/illustrator, Karen Patkau is a new voice in this field. Patkau has won many awards and citations for her illustrations and these books are further examples of her fine work. All three of these books follow a similar pattern. Illustrations make up most of the work. The language is appropriate to the upper elementary target audience. In each book, there are a few textbook-like illustrations of biological cycles, such as the oxygen cycle. At the end of each volume there is a world map that shows where in the world the kind of ecosystem being described can be found. An inset larger map shows the location of the specific ecosystem being illustrated in the book. The map is followed by a visual dictionary of twenty-four of the organisms described in the book with a paragraph describing each organism. Each book concludes with a glossary. “Who Needs an Iceberg? “ is miss-titled, because icebergs have much less impact on the Arctic ecosystems than does the presence of the swiftly-shrinking polar ice cap. However, through the book, Patkau does address most of the varied terrestrial and aquatic Arctic ecosystems. Her illustrations range from very detailed, for example the ptarmigan on the tundra, to the almost two-dimensional representation of the beluga. This is a non-fiction work, so Patkau’s representation of the underwater part of the iceberg as the face of an animal is a bit of an oddity. While “Who Needs an Iceberg?” barely mentions the iceberg through the text, “Who Needs a Jungle?” is completely about jungle environments. Patkau expertly portrays the dark jungle interiors and the bright and vibrant crowns. Her jungle is lush, with many shades of green and bright flowers and is filled with insects, birds, snakes and mammal. In the latter part of the book Patkau addresses how the jungle impacts global weather, air quality and regional water regimes. “Who Needs a Swamp?” focuses on a swamp in southern Georgia, in the southeastern United States. Given that part of the marketing for ecosystem series is the tie-in to the school curriculum, it seem as bit strange that Patkau would not have chosen a swamp in a Canadian environment, with which children might have some personal experience. While swamps wherever they are serve similar functions in trapping excess rainfall, slowing run-off and filtering water, Canadian children will not find armadillos, crocodiles, sassafras and cypress trees in their local swamps. Similar in presentation to “Who Needs a Jungle?” this book showcases Patkau’s portrayal of the lush world of a sub-tropical swamp. Because there have been several ecosystem series published for the Canadian environment in the past ten years, and not much changes in these ecosystems, for school libraries on small budgets, these books, particularly the one on swamps, would probably fall into the “nice to have” category. However, for any public or school library needing to buy new or having a budget large enough to accommodate duplication of subject content and peripheral content, these books are highly recommended. Highly recommended: 4 stars out of 4Reviewer: Sandy Campbell Sandy is a Health Sciences Librarian at the University of Alberta, who has written hundreds of book reviews across many disciplines. Sandy thinks that sharing books with children is one of the greatest gifts anyone can give.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.128
Threshold uncertainty score0.429

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0040.004
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.1280.088

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 head0.006
GPT teacher head0.241
Teacher spread0.235 · 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
Published2012
Admission routes2
Has abstractyes

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