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Record W3021297462 · doi:10.1093/ehr/ceaa101

Ghosts in Enlightenment Scotland, by Martha McGill

2020· article· en· W3021297462 on OpenAlexaboutno aff
Rebecca J. Emmett

Bibliographic record

VenueThe English Historical Review · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Historical and Scientific Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEnlightenmentHistoryArtGenealogyPhilosophyTheology

Abstract

fetched live from OpenAlex

In this work, Martha McGill looks to move the discussion of the supernatural in Scotland away from witches and to refocus our attention on the idea of the ghost in the Scottish psyche between 1685 and 1830. Looking beyond the traditional bounds of the Enlightenment period has allowed for developments beyond the late eighteenth century to be taken into account, and enabled McGill to chart the impact of changing ideas about rationality and the supernatural on the belief in ghosts among the educated Scottish population. This is contrasted with the relatively consistent representation of ghosts in ballads, broadsides and other forms of popular culture, summarised in the final chapter. Taking an interdisciplinary approach, she brings together literary ghost stories with legal cases and personal accounts, to chart the evolving relationship between the Scots and their ghosts. This body of evidence allows her discussion to go beyond existing scholarship which focuses on the literary or the historical, demonstrating how intertwined and interrelated such accounts are. Acknowledging the rich historiography of ghosts in Europe during the period, and cautioning against a notion of Scottish exceptionalism, McGill nevertheless makes a clear, and well supported, case for a distinctly Scottish attitude to, and understanding of, ghosts during the Enlightenment. She repeatedly draws comparison between the situation in England and Scotland, and demonstrates that Scotland’s attitudes to ghosts and the supernatural was consistently different to that of her southern neighbour. McGill makes it clear that it is not the ghosts themselves or the question of their existence which are the focus of her study, but the ideas and attitudes people displayed toward them, and how this in turn offers insights into the shifting intellectual culture of the period.

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 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: Other · Consensus signal: none
Teacher disagreement score0.196
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.052
GPT teacher head0.205
Teacher spread0.153 · 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.

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
Published2020
Admission routes1
Has abstractyes

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