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New Frontiers

2018· book-chapter· en· W4237922897 on OpenAlexaboutno aff
Jason M. Colby

Bibliographic record

VenueOxford University Press eBooks · 2018
Typebook-chapter
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsWhalingCaptivityWhaleFish <Actinopterygii>Cognitive reframingHistoryEnvironmental ethicsGeographyEthnologyFisheryArchaeologyPsychologyBiology

Abstract

fetched live from OpenAlex

Skana looked sick. On September 18, 1980, she failed to finish her show, and the next day she remained sluggish. Murray Newman and his staff were concerned. Along with Hyak II (formerly Tung-Jen), she was the Vancouver Aquarium’s biggest draw. In the thirteen years since Ted Griffin had captured her, Skana had been the star of Stanley Park, giving millions their first close-up view of a killer whale. And through her impact on Paul Spong and Greenpeace, she had helped reframe the international whaling debate. She may well have been the most influential cetacean in history, but she grew weaker each day, and despite heavy doses of antibiotics, she succumbed on Sunday, October 5. The necropsy revealed a fungal infection in her reproductive tract. Although aquarium officials were correct in noting that she had lived longer in captivity than any other killer whale, she was still young—no more than twenty. She might have lived fifty more years in the wild. Skana’s death left Hyak alone. He had come from Pender Harbour in 1968 as a small, frightened calf, and now he was a sexually mature male in need of a mate. Yet the acquisition of killer whales was no simple matter. The Department of Fisheries had stated that it would allow wild capture to replace orcas who died in captivity, but the Vancouver Aquarium hadn’t caught a killer whale since Moby Doll in 1964, and if it tried now, activists would surely oppose it. “I knew it would be unpopular for us to try to capture a live killer whale locally and felt a little frustrated about it,” Newman admitted. “To my mind, the entire awareness of the killer whales’ right to live was brought about by aquariums exhibiting these animals.” With nearby waters out of play, he looked to Iceland, which had become the primary source of captive orcas in recent years. After receiving the Canadian government’s permission to import whales, Newman boarded a plane for Iceland, arriving at Keflavik International Airport in the early morning of December 13, 1980.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.811
Threshold uncertainty score0.270

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0080.005
Open science0.0020.005
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.8110.680

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 head0.031
GPT teacher head0.245
Teacher spread0.214 · 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.

Study designTheoretical or conceptual
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
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueOxford University Press eBooks→Same topicArctic and Russian Policy Studies→French-language works237,207→