Invisible Landscapes, Invisible People: Juniper Picking at the End of the Line
Bibliographic record
Abstract
This article documents the activities of two of the last juniper berry pickers of the Catalan Pyrenees. We describe how their work has been affected by rural depopulation, hyperregulation, and climate change. Junipers mostly grow in open pastures that are being colonized by bushes and trees. Their berries are sold to one of the main Catalan gin-making companies. Juniper berry pickers, thus, conduct their work in transitional areas: pastures in the process of becoming forests. Working in areas perceived as “lost,” in transition, or worthless scrubland by most rural and urban populations has affected how the pickers are perceived. Indeed, these forms of foraging go largely unseen by most users of the mountains and, despite the fact that they gather these cones for large commercial companies, they seem to operate at the margins of mainstream perceptibility.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".