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Record W7039978759

"No Nation More Tenacious of Its Past" National Historical Memory in lnterwar Scotland, 1920-1934

2024· article· en· W7039978759 on OpenAlexaboutno aff

Bibliographic record

VenueScholarsArchive (Brigham Young University) · 2024
Typearticle
Languageen
FieldComputer Science
TopicAdvanced Data Storage Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsDerogationScapegoatPretextPopulationLiquationNucleofection
DOInot available

Abstract

fetched live from OpenAlex

Looking back over the last claendar year at the end of 1929, one Glasgow newspaper concluded, "Certainly no year within the memory of any living Scot has witnessed so much heart-searching. Never before has there been so much airing of the question: what is wrong with Scotland?" The question might as well have been posed about the entire decade of the 1920s. Scotland emerged from the Great War essentially demoralized, with a devastated industrial sector, an influx of Irish immigration, and a flood of mass Scottish emigration to Canada, Australia, and New Zealand. Facing this onslaught of postwar domestic problems, Scotland found itself increasingly distanced and isolated from England, its erstwhile partner in empire. While Scottish factories were closed en masse, putting thousands of men out of work, high-profit nonindustrial enterprises developed in the southeast of England, draining Scotland of wealth, along with its position of power as one of the key facilitators of empire. As the Scots suffered dramatically higher rates of infant mortaliry, malnutrition, and chronic overcrowding than their fellow Britons south of the border, English platitudes such as "Scotsmen only need to believe in themselves again" fell on increasingly deaf and despairing ears. Although Scotland had in fact suffered higher per capita casualties than any other nation of the United Kingdom in the Great War, England and the English experience of war tended to dominate war commemorations, doubtlessly exacerbating Scottish resentment and feelings of neglect within the Union.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.831
Threshold uncertainty score0.843

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.003
Open science0.0010.001
Research integrity0.0000.001
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 head0.230
Teacher spread0.213 · 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 designTheoretical or conceptual
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

Citations0
Published2024
Admission routes1
Has abstractyes

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