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Ecotourism, Animals and Ecocentrism: A Re-examination of the Billfish Debate

2013· article· en· W2127826073 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTourism Recreation Research · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Ecology, and Ethics
Canadian institutionsBrock University
Fundersnot available
KeywordsEnvironmental ethicsEcotourismTourismPerspective (graphical)SociologyPolitical scienceLawPhilosophy

Abstract

fetched live from OpenAlex

The aim of this paper is to discuss the topic of who, or what, is deserving of moral consideration in nature as this applies to the emerging discourse on tourism, animals and ethics. The paper focuses primarily on deep green or ecocentric ethics, and more specifically, on how this perspective differs from other theories of environmental ethics—especially animal liberation—when it comes to the treatment of animals used for tourism. The debate on billfishing as ecotourism is resurrected for the purpose of explaining (i) why it is important to understand key differences between ecocentric and animal liberation ethics; and (ii) how both theories could have been used to better inform the billfishing debate that took place over a decade ago. The paper concludes with a call for the continued use of environmental ethics theory in clarifying whether certain human- animal practices should be viewed as ecotourism or not.

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.

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)0.006
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.739
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.087
GPT teacher head0.393
Teacher spread0.306 · 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