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L'écotourisme attaché à la communauté et au développement local dans la région du nord-ouest du Vietnam : études de cas aux villages de Phu Mau 1,2 à la commune de Chieng Yen, province de Son La

2012· dissertation· fr· W15044882 on OpenAlexaboutno aff
Do Long Nguyen

Bibliographic record

VenueGastrointestinal Endoscopy · 2012
Typedissertation
Languagefr
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesGeographyArt

Abstract

fetched live from OpenAlex

Face aux questions emergentes relatives aux ethnies minoritaires dans les regions montagneuses du nord-ouest du Vietnam, la tendance actuelle est d'implanter le tourisme dans la communaute en le considerant comme un outil de developpement local. Au-dela des approches theoriques, l'analyse des multiples projets mis en œuvre dans le cadre du tourisme montre que les effets negatifs sont nombreux, nuisibles souvent a la culture, a l'environnement, a la societe. Dans un contexte de fort developpement du tourisme communautaire au Vietnam, la these s'efforce d'ouvrir quelques propositions adaptees aux ethnies minoritaires en montagne du Vietnam, autour du concept d'ecotourisme attache a la communaute (l'EAC). En determinant certaines causes de dysfonctionnement, prejudiciables a une mise en tourisme durable, la these propose un modele de gestion de l'EAC adapte aux communautes des thais aux villages de Phu Mau 1 et 2 de la commune de Chieng Yen en province Son La.

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 score0.339
Threshold uncertainty score0.673

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.310
Teacher spread0.290 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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