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Record W3040951054 · doi:10.24908/iqurcp.14033

The Celtic Otherworld in Patrick Rothfuss's Kingkiller Chronicle

2020· article· en· W3040951054 on OpenAlexvenueno aff
Cameron Macdonald

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies of British Isles
Canadian institutionsnot available
Fundersnot available
KeywordsCeltic languagesRealmCreaturesLegendFantasyLiteratureParallelsArtHistoryWonderPhilosophyAncient historyEpistemologyNatural (archaeology)Archaeology

Abstract

fetched live from OpenAlex

As readers of fantasy literature, we look for clues in the stories we read, familiar landmarks whose shapes we unconsciously know. These landmarks ensure that, while the stories we read may be new to us, we know (or think we know) where it leads. One legend commonly adapted as a landmark for modern fantasy is the Otherworld, a parallel dimension of supernatural creatures that has featured in Celtic stories for thousands of years. It is a magical place that inspires both fear and wonder. Patrick Rothfuss adapts this legend for his Kingkiller Chronicle. He calls his version of the Otherworld the Fae Realm, and the supernatural creatures who inhabit it Fae Creatures. In this paper I attempt to show that Rothfuss’s strikingly Celtic Fae Realm functions as a unique sort of landmark; since stories of the Celtic Otherworld are multifarious and often contradictory, and encounters with the Otherworld and its people often have diverse impacts on heroes, its presence in the Kingkiller Chronicle acts as an unsettling force, raising questions about the capacity of the initially invincible Kvothe to overcome the effects of this unpredictable obstacle.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.890
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.154
GPT teacher head0.328
Teacher spread0.174 · 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
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
Published2020
Admission routes1
Has abstractyes

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