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Record W2612832145 · doi:10.1080/0268117x.2017.1287590

Reading “wrecks of history” and the Harley family narrative

2017· article· en· W2612832145 on OpenAlexaboutno aff
Jennifer Heller

Bibliographic record

VenueThe Seventeenth Century · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Art and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSiegeLamentEliteRoyalistSacrificePrestigeHistoryLiteratureNarrativeEstateArtClassicsAncient historyLawPhilosophyLinguisticsPolitical sciencePoliticsArchaeology

Abstract

fetched live from OpenAlex

During the English civil wars, many elite families faced the destruction of the buildings, monuments, and movables that had served for centuries as testaments to their social standing. The Harleys of Brampton Bryan in Herefordshire faced just this situation after their estate was demolished during a Royalist siege in 1644. While the family had ample cause to lament, this study reveals that destruction could also be framed as a generative force. In this framework, the broken artefact works in multiple ways, recalling the intact pre-war family while simultaneously attesting to its suffering and sacrifice. As the Harleys and those close to them wrote about loss and destruction, they evoke the family’s ancient prestige and re-frame loss in a way that lays the groundwork for local reconciliation and the success of the Harley line. Out of the ruins of their lives, the Harleys are re-created as a godly, genteel family.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.025
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0190.037
Scholarly communication0.0080.008
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.027
GPT teacher head0.223
Teacher spread0.196 · 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
Published2017
Admission routes1
Has abstractyes

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