MétaCan
Menu
Back to cohort
Record W1986859721 · doi:10.1177/1468797614563436

Organic farm volunteering as a decommodified tourist experience

2014· article· en· W1986859721 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 · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicTourism, Volunteerism, and Development
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsTourismNexus (standard)Transformative learningAlternative tourismPublic relationsTourism geographySociologyConsciousnessSocial consciousnessMarketingBusinessPolitical sciencePsychologyPedagogyEngineeringLaw

Abstract

fetched live from OpenAlex

Volunteer tourism has been shown to foster cross-cultural understanding between participants and hosts. Providing opportunities to connect with like-minded participants, volunteer tourism experiences encourage consciousness-raising and future social and environmental actions. However, the laudable aims of volunteer tourism have been critiqued as their transformative capacities are overshadowed by industry attributes. Volunteering on organic farms, a movement associated with World Wide Opportunities on Organic Farms, mirrors components of volunteer tourism, although research on the nexus between the two is limited. Thus, through an exploration of volunteer experiences on organic farms in Argentina, this article advances our theoretical understanding of how volunteer tourism intersects with organic farm experiences and examines the possibilities and limitations of the “decommodification” paradigm in the volunteer tourism literature.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.713
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.031
GPT teacher head0.326
Teacher spread0.294 · 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