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Record W2531776808 · doi:10.18357/tar71201615686

Discovering Dèduit: An examination of the garden setting in the Roman de la Rose

2016· article· en· W2531776808 on OpenAlexaffvenue
Irina Ridzuan

Bibliographic record

VenueThe Arbutus Review · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicLiterary Analysis and Cultural Studies
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsPoetryMeaning (existential)ArtLiteratureRose (mathematics)Relation (database)Class (philosophy)HumanitiesArt historyPhilosophyMathematicsEpistemology

Abstract

fetched live from OpenAlex

<p class="p1">Roman de la Rose is a French poem which chronicles the journey of a young man within a secluded garden setting (the Garden of Dèduit). The poem was initially written by Guillaume de Lorris in c.1230 and later completed by Jean de Meun in c.1270. However, the authors’ differing literary styles have resulted in debates surrounding the poem’s meaning. In this study, I address the central interpretative problem by focusing on the illustrated garden setting of Dèduit and its relation to the literary content. Ultimately, I attempt to answer the following questions: How did the medieval audience perceive the garden symbolism? Did the images make a difference in the medieval reader’s understanding of the garden? What are the possible ways in which the medieval reader could interpret this garden symbolism?</p><div> </div><p class="p1"><strong> </strong></p>

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)0.000
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 score0.912
Threshold uncertainty score0.198

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.023
GPT teacher head0.258
Teacher spread0.235 · 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.

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
Published2016
Admission routes2
Has abstractyes

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