“'S Leinn Fhèin Am Fearann” (The Land is Ours): Re-Claiming Land, Re-Creating Community, North Harris, Outer Hebrides, Scotland
Bibliographic record
Abstract
This paper tells a story of the community's purchase of the North Harris Estate, Isle of Harris, Scotland, bringing the land under collective ownership where previously it was held by an individual as a ‘private’ estate. At the broadest level the paper contributes conceptually to research whose objective is to challenge the inevitability of global imaginaries. Situated in the specific context of the Land Reform (Scotland) Act 2003, such action as that of the North Harris Trust has the potential to disturb global narratives of enclosure and privatisation. In recounting the story, the argument centres on the political possibilities of the land. In parallel with arguments concerning ‘place’, I examine how the re-creation of a collective, place-based identity in the new political spaces afforded by the North Harris Trust is linked to the process of negotiating the meanings of the land. The meanings of the land relate both to the mediation of historically resonant collective rights to the land and to how ‘nature’ is constituted in the search for socially just and sustainable futures. The focus is on the principles and everyday practices through which land and community are coproduced.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.026 | 0.026 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".