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Record W7011921280

Caged Reality

2020· dissertation· en· W7011921280 on OpenAlexaboutno aff

Bibliographic record

VenueArca (British Columbia Electronic Library Network) · 2020
Typedissertation
Languageen
FieldMedicine
TopicPreterm Birth and Chorioamnionitis
Canadian institutionsnot available
Fundersnot available
KeywordsCaptivityPain and sufferingAnimal welfareSubject (documents)Beauty
DOInot available

Abstract

fetched live from OpenAlex

Green trees are painted onto the concrete walls of an elephant's enclosure, in hopes of providing a more "natural" environment.Beyond the prison-like pillars encaging the desolate pen, a single blue ball lies stagnant.This elephant's enclosure is complete with "windows of bullet-proof glass and gates of heavy steel" (Pruden, par.1).For 42 years, this elephant house has been Lucy's home at the Edmonton Valley Zoo.Lucy's living conditions and illnesses are a subject of growing controversy and have garnered attention from animal activists to celebrities.Bob Barker, the host from The Price is Right, "points to the bitter Canadian cold, to the starkness of the elephant house, and, most of all, to the fact that she is alone, as evidence that she is not only unhappy in Edmonton but that she is suffering" (Pruden, par.44).As elephants are very social animals, Lucy faces mental distress due to her loneliness.The Edmonton Valley Zoo states that she also suffers physically from arthritis and a "respiratory problem that makes it difficult for her to breathe when she is under stress" ("Lucy's Care").Lucy is in a catch-22 situation.Due to Lucy's severe breathing problem, moving her to a warmer climate would be life-threatening; however, the cold Edmonton weather aggravates her arthritis joint pain and possibly exacerbates her respiratory issue.Lucy exemplifies the endless debate about animal welfare in captivity and calls into question whether or not the existence of zoos is ethical.Although captivity may provide relative safety and increased accessibility to medical treatments, most animals endure emotional trauma as a result of confinement and ultimately suffer in their artificial environment.While animals were once exploited for entertainment and profit in zoos, the current focus of zoos has shifted more towards awareness, education, and conservation of animals.The protection of animals, especially endangered species, is one of the main arguments for keeping animals in captivity.Jennifer Gray, the author of Zoo Ethics: The Challenges of Compassionate Conservation, claims that "human care may offer protection from the physical pain and suffering" (Gray 73) that animals experience in the wild, as they are "protected from predation,

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)0.004
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.566
Threshold uncertainty score0.619

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0050.004
Open science0.0020.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.5660.309

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 head0.007
GPT teacher head0.211
Teacher spread0.205 · 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 designQualitative
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
Published2020
Admission routes1
Has abstractyes

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