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Record W2182563931 · doi:10.1111/anti.12208

Refusing to be Toured: Work, Tourism, and the Productivity of “Life” in the Colombian Amazon

2015· article· en· W2182563931 on OpenAlexafffund
Caitlin E. Craven

Bibliographic record

VenueAntipode · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal trade, sustainability, and social impact
Canadian institutionsMcMaster University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsAmazon rainforestTourismCapitalismEcotourismScholarshipIndigenousCapital (architecture)Work (physics)ProductivitySociologyPoliticsResource (disambiguation)Political sciencePolitical economyEconomic growthEconomicsGeographyEcologyLaw

Abstract

fetched live from OpenAlex

Abstract Starting from the contention that exercising a “right to tour” is predicated on the work of producing tourability, I examine how tourability itself is a contested process involving relations of land and labour. Examining the current “resource boom” of ecotourism in the Colombian Amazon, I use an analysis of work and capital accumulation to unravel a seemingly small act of refusal by the community of Nazaret that has barred tourists’ entry to their land. I argue that this act of refusal opens up space for critically examining the relationships of land and labour, especially through the production of “life”, in the accumulation of tourable places in contemporary global capitalism. Engaging literature on both tourism studies and land politics in the Amazon region, I contribute to the scholarship on tourism and work while examining how Indigenous landscapes are being made productive towards the ends of capitalism.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.212
Threshold uncertainty score0.422

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.003
Scholarly communication0.0040.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.270
Teacher spread0.227 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations14
Published2015
Admission routes2
Has abstractyes

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