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Darien, the Golden Dream

2021· book-chapter· en· W3202068232 on OpenAlexaboutno aff
Kirsten Sandrock

Bibliographic record

VenueEdinburgh University Press eBooks · 2021
Typebook-chapter
Languageen
FieldArts and Humanities
TopicScottish History and National Identity
Canadian institutionsnot available
Fundersnot available
KeywordsColonialismIdeologyHistoryPoliticsMythologyPower (physics)DramaPossession (linguistics)IndigenousNarrativePoetryLiteratureArtArchaeologyLawPhilosophyPolitical science

Abstract

fetched live from OpenAlex

This chapter focuses on literary and cultural works dealing with Scotland's attempt to colonize Darien, at the Isthmus of Panama, in the 1690s. It establishes Darien as a central trope in Scottish literature by analyzing works from the seventeenth to the twenty-first century, including novels, poetry, drama, songs, and political treatises by William Paterson, William Burnaby, Eliot Warburton, Douglas Galbraith, David Nicol, Alistair Beaton, and anonymous female authors. It illustrates how these depictions interact with other political and ideological trajectories in Scotland and the UK, including Jacobitism, Anglo-Scottish relations, and revisionist historical writing. The chapter establishes images of Darien gold and material possession as central structuring devices of Scottish colonial literature, which stand in conflict with depictions of Scotland's alleged kindness towards the indigenous populations of Panama. The chapter argues that narratives of benevolence together with narratives of gold and material possessions turn the colonial utopian tradition into a full-fledged myth of the Scottish Atlantic by the end of the seventeenth century. The mythologization of the colonial sphere together with the mythologization of the Scottish settlers functions as an aesthetic instrument to enter the competition over power in the late-seventeenth-century Atlantic.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.012
Scholarly communication0.0060.005
Open science0.0000.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.041
GPT teacher head0.193
Teacher spread0.152 · 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
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
Published2021
Admission routes1
Has abstractyes

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