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Record W2218412316 · doi:10.1353/abr.2015.0142

Save the Bear

2015· article· en· W2218412316 on OpenAlexaboutno aff
Duane Niatum

Bibliographic record

VenueAmerican book review/˜The œAmerican book review · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicEcology and biodiversity studies
Canadian institutionsnot available
Fundersnot available
KeywordsBeautyGeographyBayRainforestBiodiversityParadiseFisheryEnvironmental ethicsHistoryArchaeologyEcologyLawPolitical scienceArt history

Abstract

fetched live from OpenAlex

Save the Bear Duane Niatum (bio) Great Bear Wild: Dispatches from a Northern Rainforest Ian McAllister University of Washington Press www.washington.edu/uwpress 192Pages; Print, $39.95 Ian McAllister did a convincing job of showing how critical it is to protect one of the most profound ecosystems on the planet—the Great Bear Rainforest. The book is a call-to-arms from the heart of the British Columbia coast and it honors the amazing beauty and diversity of this unforgettable region. A region of towering trees and rare mammals that stretches up the rugged Pacific Northwest coast from the north end of Vancouver Island to southern Alaska, a place world famous for its biodiversity. The author is a longtime resident of the area, an award-winning photographer and conservationist. His life’s work is exploring and documenting the Great Bear’s inhabitants. He introduces us to a few Gitga’at elders from the small community of Hartley Bay, Heiltsuk, engaged in the traditional herring roe fishery, and to the scientists devoted to studying the region’s return of humpback and fin whales. He warns us that today, a number of mega-energy projects now threaten this coast like no other time in history, endangering the Great Bear’s traditional ways of life for humans and non-humans alike; Great Bear Wild shows, in a visceral way, what is at stake if these projects proceed. McAllister points out that this “paradise represents more than half of Canada’s Pacific coast and much of the world’s remaining intact temperate rainforest. The Great Bear includes over a thousand uninhabited islands, two-thousand river valleys hosting wild salmon and one of the largest unexplored, unprotected marine ecosystems on the planet.” He mentions that Canada has the largest coastline in the world. It includes Triangle Island, the “Last Island,” which is extremely important globally as a seabird nesting island, home to approximately thirty thousand pairs of tufted puffins and half the world’s Cassin’s auklet population. The island supports one of the greatest densities of bird and mammal life anywhere in the world. Furthermore, Triangle Island is also the second largest breeding ground for Steller’s sea lions in the world. Princess Royal Island is another island that inspires wonder and awe. This island reflects the interface of ocean and rainforest that defines the beauty and ecological richness of the Great Bear Rainforest. The book is loaded with many outstanding photographs. One that stands out is a photo of a sunflower sea star that lives along the shore. This sea star is the largest of its type in the world. With all these, as well as many others, one is astounded that this place is not considered a place to be off limits to oil and gas development and their tankers by the BC and Canadian government. Great Bear Wild is the home of two of the most amazing mammals in the world. The sea wolves live on the coast and islands, swim great distances and feed on herring roe, fish, seaweed and also hunt seals and sea lions. The Spirit Bear is a unique white form of black bear that will appear in black bear families. This book includes amazing photos of both of these little–known animals. Princess Royal Island is also home to the Gitga’at people, and McAllister tells us that their ancestors “have left some of the greatest displays of petroglyphs on the Northwest Pacific coast.” The petroglyphs offer stories, but the stories are almost impossible to date. They may be the oldest physical connection to Gitga’at ancestry that exists today. Unfortunately, the Gitga’at people’s seaweed and halibut camp is close enough for them to see the proposed oil and LNG tanker route threatening this traditional annual food-gathering ritual. Another resident, the grizzly bear, the animal that can stagger the imagination, continues to be hunted for sport and trophy even in parks and protected areas. (One of the most powerful photos in the book is of a grizzly lounging on moss near a river). Pink salmon, the orphans of the sea, make their multi-year heroic journey through the north Pacific, eventually reaching...

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.301
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.006
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.010

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 head0.022
GPT teacher head0.261
Teacher spread0.238 · 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; both teacher heads agree on what is shown here.

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
Published2015
Admission routes1
Has abstractyes

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