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Record W3106438215 · doi:10.1111/hic3.12634

Scots, capitalism, and the colonial countryside: Impressions from nineteenth‐century Cape Breton

2020· article· en· W3106438215 on OpenAlexafffund
Don Nerbas

Bibliographic record

VenueHistory Compass · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicScottish History and National Identity
Canadian institutionsMcGill University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsColonialismHistoriographyCapeCapitalismRural areaHistoryHuman settlementScotsEthnologyProletariatArchaeologyEconomic historyAncient historyGeographyPolitical scienceArtLawPolitics

Abstract

fetched live from OpenAlex

Abstract In Cape Breton during the second half of the nineteenth century, rural labor from the nearby countryside, often the children of settlers who had emigrated from the western Isles and Highlands of Scotland earlier in the century, was decisive in shaping the mining workforce that developed on the island's Sydney coalfield. The importance of this distinctive Highland influence upon the working‐class culture that developed in Cape Breton's “country of coal” was suggested decades ago by labor historians, and more recently it has been addressed in the region's rural historiography. It is a history that, nonetheless, remains obscure and has lingered in the blind spots of various subfields of study, including in historical investigations of “Highland enclave settlements” and “Scottishness” in northern North America. This essay suggests the need to approach the subject in terms of a broader transformation of the colonial countryside, one which takes into account the interconnected histories of capitalism and settler colonialism.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.572
Threshold uncertainty score0.850

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0160.014
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.030
GPT teacher head0.197
Teacher spread0.166 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2020
Admission routes2
Has abstractyes

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