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Record W3109032704 · doi:10.3366/nor.2020.0220

Demobilised Soldiers, Small Holdings Colonies and the Compulsory Acquisition of Land after World War One: Scotland and Canada

2020· article· en· W3109032704 on OpenAlexaboutno aff
Barbara Arneil

Bibliographic record

VenueNorthern Scotland · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicScottish History and National Identity
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousSettlement (finance)Work (physics)Land rightsPolitical scienceGeographyLand registrationLand tenureEconomyBusinessArchaeologyEnvironmental planningEconomicsFinanceEcologyAgricultureEngineering

Abstract

fetched live from OpenAlex

This article compares the Small Holdings Colonies Acts (1916 and 1918) for demobilized WWI soldiers in Britain upon which the Land Settlement (Scotland) Act of 1919 was established; and similar small holdings colonies for demobilized soldiers in Canada with a particular focus on provisions for the state to engage in compulsory acquisition of land for this purpose. My research shows in the Highlands and Islands of Scotland, colonies and compulsory acquisition of land under the 1919 Act were part of a larger land reform movement (breaking up large estates) and represent progressive advances for traditional occupants – the crofters and tenant farmers – to have rights over their own lands. In Canada, on the other hand, domestic colonies for British soldiers served to displace indigenous peoples from their reserves already vastly diminished compared to traditional territories. The compulsory acquisition of land through surrenders from reserves compounded the problem. As such colonies in Canada had negative impacts on indigenous peoples as part of an ongoing settler colonization process. Thus I show that small holdings colonies particularly when combined with compulsory acquisition of land work in opposite directions normatively and materially in each country.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.792
Threshold uncertainty score0.827

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.016
GPT teacher head0.174
Teacher spread0.158 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2020
Admission routes1
Has abstractyes

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