‘We secured the tussac’: Accounts of ecological discovery, exploitation and renewal in the Falkland Islands
Bibliographic record
Abstract
Abstract Sheep farms dominate the Falkland Islands landscape and have for over a century. The introduction of sheep, and several other species, has significantly transformed the ecology of this archipelago—the near elimination of tussac grass being one of the most notable changes. Tracing back to early accounts of tussac grass in the ‘Falklands’, this paper captures its discovery, exploitation and current stage of renewal, including a closer look at the connections between tussac and livestock farming, as well as parallel trends in other countries. We narrate changing relations between people and tussac grass using a combination of interview data, historical accounts and scientific literature. Tussac is presented as a historical bellwether of shifting trends in local farm and environmental management in this isolated archipelago. Shifts in land ownership, grazing management methods and conservation efforts are bringing momentum to a period of renewal across the Falklands. A free Plain Language Summary can be found within the Supporting Information of this article.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.012 | 0.017 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".