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Record W2316189671 · doi:10.4000/elohi.467

Une expérience de voyage éco et ethno-touristique chez les Wayuu. Témoignage et analyse

2015· article· fr· W2316189671 on OpenAlexaff
Karen López Hernández

Bibliographic record

VenueELOHI · 2015
Typearticle
Languagefr
FieldArts and Humanities
TopicCultural Identity and Heritage
Canadian institutionsMinistère de l’Emploi et de la Solidarité Sociale (Québec)
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Grâce aux atouts naturels et culturels, l’éco-tourisme et l’ethno-tourisme s’ouvrent comme des activités économiques à La Guajira colombienne où habitent les Wayuu. Le gouvernement local prétend développer un type de tourisme auquel les Wayuu peuvent s’intégrer. Nous avons pu constater que des familles wayuu offrent leurs rancherías (logements) et proposent des activités récréatives aux touristes. Dans ce cadre, nous avons organisé un voyage en janvier 2009, avec deux touristes, avec lesquels nous étions impliquée comme guide et ethnologue. La relation triangulaire (touristes, guide natif et nous) a eu des retombées négatives et les trois acteurs ont fini le périple dans un état de déception. Quelles peuvent être les représentations de l’altérité dans un face-à-face médiatisé par le marché touristique ? Comment les places dialogiques permutent-elles et font-elles émerger des objectifs et des rôles inattendus dans les relations marchandes établies par le tourisme ? Telles sont les interrogations qui ont guidé notre réflexion.

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)0.002
metaresearch head score (Gemma)0.003
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.086
Threshold uncertainty score0.172

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0160.011
Scholarly communication0.0050.003
Open science0.0010.007
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.074
GPT teacher head0.306
Teacher spread0.231 · 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

Citations1
Published2015
Admission routes1
Has abstractyes

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