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Ecofeminism in the Tourism Context: A Discussion of the Use of Other-than-human Animals as Food in Tourism

2013· article· en· W1997970841 on OpenAlex
Olga Yudina, David A. Fennell

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
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsBrock UniversityUniversity of Waterloo
Fundersnot available
KeywordsTourismEcofeminismContext (archaeology)Consumption (sociology)Relevance (law)Tourism geographyEnvironmental ethicsSociologyEcotourismSocial sciencePolitical scienceGeography

Abstract

fetched live from OpenAlex

Uses of animals in tourism range widely, including their consumption as food. This paper explores the use of animals as food in tourism, drawing on the work of ecofeminist theorists for insights into the issue. It begins by identifying some core tenets of ecofeminist philosophy. It then demonstrates its relevance to the tourism context—specifically to the use of animals as food in tourism—by discussing several examples from the industry and drawing on existing theoretical applications of ecofeminism to animal food production and consumption. The overarching aim of this paper is to encourage the incorporation of this rich and textured theory into tourism discourse to help us reflect on what we currently consider to be acceptable behaviour.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.813
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.135
GPT teacher head0.337
Teacher spread0.202 · 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