MétaCan
Menu
Back to cohort
Record W2964439393 · doi:10.1177/1468797619864940

Plants and tourism: Not seeing the forest [n]or the trees

2019· article· en· W2964439393 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

VenueTourist Studies · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsBrock University
Fundersnot available
KeywordsTourismField (mathematics)Natural (archaeology)SociologyTourism geographyEnvironmental ethicsEcologyGeographyBiology

Abstract

fetched live from OpenAlex

This article aims to explore an emergent sub-field in the study of tourism: the relationship between plants and tourism, which has been neglected in the literature. We discuss plants as a life form and confront the animal–plant divide, implicitly permeating tourism studies, with recent findings in biology and arguments in contemporary ontological anthropology, which seek to erase that divide and emphasize plant–animal continuity. We discuss the role of plants in the tourist experience and their place in differentially framed tourist settings, ranging from fully-natural to fully-contrived ones. We present the various ethical theories bearing on human conduct toward plants and indicate their applicability to tourism in the various settings. In conclusion we call for greater attention to the significant but overlooked role of plants in various touristic contexts.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.421
Threshold uncertainty score0.530

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 studies0.0010.000
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 head0.042
GPT teacher head0.253
Teacher spread0.211 · 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