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Record W2916212596

Psychotic, Depressed, or Just a Whale? Studying Whales in Captivity at Marineland of the Pacific, 1954-1967

2018· article· en· W2916212596 on OpenAlexvenueno aff
Isobel Griffin

Bibliographic record

VenueThe Graduate History Review · 2018
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsCaptivityWhalingWhaleMarine mammalFisheryBeluga WhaleGeographyEnvironmental ethicsZoologyEcologyBiologyArctic
DOInot available

Abstract

fetched live from OpenAlex

Prior to the onset of large-scale marine mammal captivity, marine biologists had limited access to whales and dolphins. Scientists were often forced to rely on inadequate wild observations, study whale carcasses from whaling ships or factories, collect stranded specimens, or hunt their own cetaceans. Opening in 1954, Marineland of the Pacific revolutionized the marine mammalogy field by providing unprecedented opportunities for scientists to closely observe, study, and interact with live whales. In addition to studying breathing rates, swimming speeds, and diving capabilities, scientists at Marineland also made advances in understanding echolocation, social structure, and emotional intelligence in cetaceans. Through examinations of scientific studies, changes in animal husbandry practices, and popular publications, this paper will show that the connection between oceanariums and marine research has been largely overlooked in historical scholarship, but is critical to understanding the transformation in the mid-twentieth century relationship between humans and cetaceans.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.337
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.317
GPT teacher head0.404
Teacher spread0.087 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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

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