The multiple environmentalities of conservation mapping in Patagonia-Aysén
Bibliographic record
Abstract
In this paper, we mobilise a multiple environmentalities framework that captures overlapping rationalities of governing nature to engage and identify the role of maps and mapping practices in Patagonia-Aysén, Chile, a peripheral region where government and institutional actors have embraced (eco)tourism as a conservation strategy in protected areas. Through interviews with key stakeholders situated in conservation and tourism institutions in both the public and private sector, we identify two dominant environmentalities at play in the relationship between protected area management and tourism development in Patagonia-Aysén: a neoliberal environmentality, which seeks to promote conservation through the commodification of nature as a tourism product, and an environmentality of truth predicated on a singular, pristine and beautiful nature as an object of conservation and advantage for tourism. Through an analysis of conservation maps and mapping rationalities specific to the Cerro Castillo protected area in Patagonia-Aysén, we trace how these multiple environmentalities are consolidated, rendered real and actionable through geovisualisations and cartographic practices. We argue that conservation maps and mapping emerge as an ‘encounter point’ wherein multiple environmentality strategies and rationalities converge, producing a form of governing the spaces of conservation – what we term a spatial environmentality – rooted in neoliberal and aesthetic logics. Spatial environmentality, we contend, constitutes a form of governing conservation spaces by inscribing and assigning (in)appropiate uses to nature that operationalises institutional interests in conditioning the active engagement of ‘environment subjects’ to control, administer, and take care of the spaces of conservation while in turn making environmental stewardship profitable.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".