Production of a Tourist Space and Territorial Governance Regime in French Guiana (Guyane Française)—The Challenges of Touristification in the Peripheral Territory of Haut-Maroni
Bibliographic record
Abstract
This article focuses on the processes of territorialization of the local population’s living space, created by the governance regime in French Guiana, and their effects on the production of a tourist space in the context of sparsely populated regions. The Guiana Amazonian Park is analyzed as a territorialization agent with mechanisms that influence the development of tourism in the Maripasoula/Haut-Maroni zone. Our objective is to use the territorial framework to better understand the political and geographical dynamics that exist between the processes of the global production of tourist areas and those related to the local population’s management of the living space. Using Critical political geography framework, this study is based on documentary research and on 15 semi-directed interviews, conducted during a month-long stay in 2019, with different groups of stakeholders involved directly or indirectly in tourist activities. The paper first outlines the regional and local context of tourism in French Guiana. It also offers a territorial description of the different inclusion criteria for Sparsely Populated Regions in the Maripasoula/Haut-Maroni region, which is linked to the specific tourist practices in this territory. The processes of territorialization are then analyzed through the different governance regimes the French state created in order to understand how they fit into the production of a tourist space. Finally, a reflection on the future of tourism in this region is proposed, particularly regarding colonial governance regimes vis-à-vis Indigenous populations in the region. Our analysis demonstrates that tourism, along with any other form of activity to be developed in Maripasoula/Haut-Maroni territory, will be systematically confronted with the same structural constraints that have helped to reproduce the dynamics of territorial dispossession since the establishment of a colonial regime in the region.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".