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A Kingdom of the Mind

2021· book-chapter· en· W3212287088 on OpenAlexaboutno aff
Bill D. Bell

Bibliographic record

VenueOxford University Press eBooks · 2021
Typebook-chapter
Languageen
FieldArts and Humanities
TopicScottish History and National Identity
Canadian institutionsnot available
Fundersnot available
KeywordsScotsColonialismEmpireHistoryIdentity (music)British EmpireGenealogyEthnologyAncient historyArtLiteratureArchaeologyAesthetics

Abstract

fetched live from OpenAlex

One relatively distinct group in the British empire were the millions of Scots who extended their cultural networks in the various new worlds. From New Zealand to Australia and Canada, Scottish settlers used their books and reading as a means of replicating and promoting their own cultural values far from home. This chapter examines a number of pioneer communities settled by Scots, particularly members of the Free Church, established after the Disruption of 1848. Under the fiercely sectarian leadership of a number of prominent church ministers in Dunedin, Waipu, and elsewhere, institutional libraries were established that reflected the cultural and religious affiliations of home. Later in the nineteenth century, even in these enclaves of Scottishness these same communities became increasingly integrated into an overseas colonial identity. A key figure in this regard was the pastoralist, George Russell of Victoria. An important colonial representation of Scottishness in this stage of transition was articulated by Catherine Helen Spence in her novel Handfasted. By the twentieth century, almost in direct proportion to their distance from their national origins, colonial Scots remained faithful to a number of cultural practices, not least of which was the keen promotion of literary works by their countrymen and women.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.034
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.010
Scholarly communication0.0060.004
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0190.005

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 head0.051
GPT teacher head0.193
Teacher spread0.141 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2021
Admission routes1
Has abstractyes

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