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Record W7058319138

Medievalism and the shocks of modernity: rewriting northern legend from Darwin to World War II

2016· dissertation· en· W7058319138 on OpenAlexaff

Bibliographic record

VenueMspace (University of Manitoba) · 2016
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMedievalismMiddle AgesMedieval literatureSkepticismHistoriographyAnachronismPoliticsPosthumanism
DOInot available

Abstract

fetched live from OpenAlex

Literary medievalism has always been critically controversial; it has often been dismissed as reactionary or escapist. This survey of major medievalist writers from America, England, Ireland and Iceland aims to demonstrate instead that medievalism is one of the characteristic literatures of modernity. Whereas realist fiction focuses on typical, plausible or common experiences of modernity, medievalist literature is anything but reactionary, for it focuses on the intellectual circumstances of modernity. Events such as the Enlightenment, the Industrial Revolution, many political revolutions, the world wars, and the scientific discoveries of Isaac Newton (1643-1727) and above all those of Charles Darwin (1809-1882), each sent out cultural shockwaves that changed western beliefs about the nature of humanity and the world. Thus, intellectual anachronisms pervade medievalist literature, as some of the greatest writers of modern times offer new perspectives on old legends. The first chapter of this study focuses on the impact of Darwin’s ideas on Victorian epic poems, particularly accounts of natural evolution and supernatural creation. The second chapter describes how late Victorian medievalists, abandoning primitivism and claims to historicity, pushed beyond the form of the retelling by simulating medieval literary genres. The third chapter crosses into the twentieth century and examines the relationship between the skepticism of a new generation of medievalist writers and their exploration of radical new possibilities in artificial mythology. The fourth chapter examines the gender dynamics of medievalist works, discussing how medievalist writers reinterpreted stock character types through metafiction. The final chapter’s focus is on war, propaganda, and human nature; it documents the iconoclastic trend in postwar medievalism, as writers examine the role of literature in encouraging nationalism and organized violence. Tying together the major threads of medievalism from the previous chapters, this final chapter chases the greatest shockwave of the twentieth century through inverted medieval landscapes where the author may be the greatest villain of all. Rejecting the critical Balkanization of medievalism, this study instead offers a unified view of nineteenth- and twentieth-century responses to northern legend, one which shows medievalism closely tracking the shocks of modernity.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.812
Threshold uncertainty score0.996

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)0.0050.000

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 head0.011
GPT teacher head0.217
Teacher spread0.206 · 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 designOther design
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

Citations2
Published2016
Admission routes1
Has abstractyes

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