Tourisme et « éco-ethnicité » : les enjeux d’un soft power environnemental pour les minorités de l’Asie d’altitude (Chine, Laos, Népal)
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.
Bibliographic record
Abstract
Cet article teste l'hypothèse suivante : la double image identitaire ethnique et environnementale d'un groupe – que nous appelons éco-ethnicité – peut expliquer dans une large mesure son émancipation ; ainsi, le fait d'être doté d'une éco-ethnicité significative pourrait fournir à ce groupe un soft power substantiel tiré du tourisme. Le texte s'appuie sur une recherche qualitative de terrain comparant trois études de cas en altitude au Népal (Annapurna), en Chine (Guizhou) et au Laos (Louang Namtha). La mise en tourisme locale y souligne l'ethnicité et les connaissances environnementales locales, mais à des degrés très divers. En conclusion, l’éco-ethnicité n’apparait pas comme un facteur d’émancipation économique déterminant.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it