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Record W2519625459 · doi:10.21992/t9gg9v

Making Your Memory Mine: Marie de France and the Adventures of the Bretons

2016· article· en· W2519625459 on OpenAlexafffundvenue
Jeffrey S Longard

Bibliographic record

VenueTranscUlturAl A Journal of Translation and Cultural Studies · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsUniversity of Alberta
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of Alberta
KeywordsAdventureLiteraturePoliticsHistoryRealmArtArt historyLaw

Abstract

fetched live from OpenAlex

The twelfth-century Anglo-Norman poet Marie de France undertook to preserve for posterity the adventures and romances embodied in a vanishing genre, the old Breton lais as she had heard them recounted by minstrels. That she succeeded is evidenced by the popularity of these lais for more than eight hundred years; that she perhaps succeeded too well is suggested by the fact that, within a century of her lifetime, the Breton lais had become exclusively a French form of literature, and whatever might have been the original form, linguistic structure and cultural content in Breton has been relegated to the realm of hypothesis. This raises questions about the relationship between translation and cultural autonomy. Marie’s purported memorial to the Bretons became instead an institution of French language and culture. Had the Breton features been totally effaced, this could be called assimilation; had they been preserved intact, it would have been literal translation. In fact, Marie’s work can be reduced to no such simple binary. Nor can her aims be analyzed through any single lens, whether political, religious, cultural or artistic. Rather, I argue that her unsettling and robust positioning of contradictory elements—sorcery, sensuality, feudality, religion—results from her strategy of adopting the memory of the Bretons: neither glossing over its strangeness nor highlighting it as foreign, but making its distant and exotic characteristics part of her own invented heritage. I conclude that her translation project is more effectively analyzed as an ethical process of incorporation and restitution (Steiner) than as a placement along the spectrum of foreignization versus domestication (Venuti).

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.039
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0150.012
Scholarly communication0.0110.005
Open science0.0010.004
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0080.002

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 head0.064
GPT teacher head0.277
Teacher spread0.213 · 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 designTheoretical or conceptual
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

Citations1
Published2016
Admission routes3
Has abstractyes

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