Unexpected narratives in conservation: Discourses of identity and place in Šumava National Park, Czech Republic
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
Abstract In Šumava National Park, dominant actors dispute appropriate conservation strategies habitually overlooking Šumava's residents and their socioeconomic concerns. Routinely disregarded, Šumava's residents invoke narratives of identity and place that undermine the conservation paradigm by constructing the local population ‘quality’ as insufficient to make conservation a success. This paper examines the circumstances in which such a discourse emerges, how it responds to the asperity of conservation in a post-socialist setting and gains credence for implausible conclusions by appealing to broadly recognised Czech and European narratives of identity and place. What emerges is a discursive fragmentation of the subject simultaneously lends the discourse credibility and frustrates the redistribution of power in the area.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it