From Displaced to Displacers
Bibliographic record
Abstract
In the 18th and 19th centuries, the enclosure of common systems shaped the displacement of people on a global scale whilst bringing the people---Scottish Highland crofters and Mi’kmaq First Nation Canadians from the margins where they have dwelled for centuries in historical scholarship to of the centre of not just their history, but our collective history. Both populations experienced attacks on their ties to their lands, resources, and culture through enclosure. The enclosure process lasted over two centuries and was interspersed with violent protest, proactive resistance, interspersed with periods of acceptance and determination against their forced removals. Investigating these two historical case studies has shown the devastating effects of enclosure of commons systems on both sides of the Atlantic, which led to land dispossession, loss of Indigenous languages, cultural eradication, and denial of place so crucial to marginalised and First Nation peoples. The Scottish crofters were displaced in their native homeland and forced to leave their agricultural knowledge of land and place along with their native Gaelic language and Bardic oral traditions. The Eastern Maritime Canadian First Nations people, the Mi’kmaq, were displaced in their homelands, Mi’kmaki, where they had lived, survived, and thrived for thousands of years. In these Transatlantic enclosure events, the displaced became the displacers.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.016 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.015 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.029 | 0.003 |
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".