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Record W3206045912 · doi:10.29173/cons29470

Chivalry and Knighthood in the Past and Present; Contrasting “Gawain” and Fire Emblem Three Houses

2021· article· en· W3206045912 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueConstellations · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsChivalryEmblemCONTESTNarrativeKnightPower (physics)PoliticsAestheticsHistoryLiteratureSociologyArtLaw

Abstract

fetched live from OpenAlex

In my paper, I delve into the socio-political dimensions of knighthood and chivalry during the Medieval era of Europe through a comparison between the Medieval English poem, “Sir Gawain and the Green Knight,” and the video game, Fire Emblem Three Houses, published in 2019 by Nintendo. Within both texts, I explore chivalry and knighthood as a specific social code and institution of power, both of which are complex constructs beneath its veneer of idealism and romanticism. More prominently however, I discuss the interplay between chivalry as a system of power and one’s humanity. I argue that the Blue Lions path of Three Houses compellingly demonstrates this dynamic through its characters and their interactions together, while also shining a light on the reality of individuals beholden to institutional power. Although contemporary narratives may tend to misconstrue the past for dramatic effect, I believe there is value in examining them because they may conversely reveal previously overlooked aspects of historical concepts due to the biases and values 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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.892
Threshold uncertainty score0.309

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)0.0000.000

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 head0.031
GPT teacher head0.216
Teacher spread0.185 · 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