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Record W2462041010

The Use of Elephants in Leisure and its Negative Effects

2016· article· en· W2462041010 on OpenAlexaff
Rebecca Dick

Bibliographic record

VenueIndiana Magazine of History (Indiana University) · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsConcordia University
Fundersnot available
KeywordsPoachingTrophyEntertainmentVeblen goodTourismConsumption (sociology)GeographyEndangered speciesAdvertisingBusinessPolitical scienceSociologySocial scienceWildlifeEcologyLawEconomicsArchaeology
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this paper is to both outline the negative effects of the use of elephants for human entertainment, and to criticize leisure pursuits such as zoos, circuses, ivory consumption, hunting and treks.Zoos provide little resources and living spaces to their captive elephants, leading to an array of diseases and disorders including impaired reproductive systems in females.Trophy hunting and ivory poaching diminish the already endangered elephant species for the sake of it, while circuses make use of harmful instruments to obtain elephants' compliance.Tourism industries benefit from the power of elephants by offering elephant trekking experiences and causing stress to them.This paper takes a critical stance on the use of elephants for human entertainment as being unproductive and harmful by applying leisure-related theories from Veblen (1899) and Rojek (2010).

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.283

Codex and Gemma teacher scores by category

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

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 head0.016
GPT teacher head0.171
Teacher spread0.154 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2016
Admission routes1
Has abstractyes

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