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Record W4212874371 · doi:10.1017/s0956793322000024

‘Scotland’s fighting fields’: the mobilisation of workers in rural Scotland during the Second World War

2022· article· en· W4212874371 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRural History · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicScottish History and National Identity
Canadian institutionsnot available
Fundersnot available
KeywordsBattleWorkforceAgricultureGeographyAgricultural productivitySpanish Civil WarOddsPopulationRural areaEconomic growthSocioeconomicsPolitical scienceSociologyDemographyArchaeologyEconomicsLawMedicine

Abstract

fetched live from OpenAlex

Abstract As the Battle of the Atlantic threatened Britain’s importation of food and forestry supplies, authorities intensified plans to rapidly increase domestic production. In Scotland, this was a herculean task in rural communities decimated by land clearances, economic depression, and population decline. Against the odds, the mobilisation of a range of workers enabled Scottish agriculture and forestry to make impressive gains in production, and significantly impacted Scotland’s ability to meet wartime production targets. This article examines the contributions of four diverse groups of labourers that toiled in Scottish fields and forests: compelled labourers, including conscientious objectors and prisoners of war; adult and child volunteers; women; and foreign lumberjacks from Canada, Newfoundland, and British Honduras. This original research supplements our knowledge of the British rural workforce during the Second World War, and raises the issue of wartime migration and its effects on rural communities.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.366
Threshold uncertainty score0.988

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0130.000

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 head0.194
Teacher spread0.177 · 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