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Record W1516361250 · doi:10.7202/1015347ar

Evading Frames: D’Antin van Rooten’s Homophonic Mother Goose

2013· article· en· W1516361250 on OpenAlexaffvenue
Ryan Fraser

Bibliographic record

VenueTTR traduction terminologie rédaction · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsWilfrid Laurier UniversityUniversity of Ottawa
Fundersnot available
KeywordsContext (archaeology)LinguisticsContextualizationMeaning (existential)Frame (networking)GooseHistoryLiteratureSociologyComputer scienceEpistemologyPhilosophyArtInterpretation (philosophy)

Abstract

fetched live from OpenAlex

In 1967, American dialect actor Luis d’Antin van Rooten published his now-classic Mots d’Heures: Gousses, Rames , a non-organic arrangement of French-language words and phrases designed to approximate the speech sounds of Mother Goose Rhymes . Though much read and imitated, these homophonic translations have largely evaded theoretical focus. Perhaps this is because their unique structuring allows them to evade anchorage in any specific contextual frame, and to send up the researcher’s own efforts toward contextualization, which has been prescribed as the methodological “first step” in Translation Studies since the Cultural Turn. Presented here, first of all, is a search for the potential frames of the Mots d’Heures– biographical, inter-textual, cinematic. These homophonic translations, I will then contend with reference to Jean-Jacques Lecercle (1990), exist to defy these frames by collapsing together, at the phono-articulate level, the target text with its most obvious context: the English-language source. Finally, I would contend, this collapse exemplifies the phenomena of “weaning,” “trans-contextual drift,” and “remainder” argued by Derrida (1988) as the enduring property of the signifying structure. The Mots d’Heures serve, then, as a playful reminder, in an intellectual climate where context reigns, of the signifying form’s structural ascendancy over the frame, of its “iterability.”

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.972
Threshold uncertainty score0.999

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 studies0.0010.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.002

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 head0.075
GPT teacher head0.280
Teacher spread0.205 · 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; both teacher heads agree on what is shown here.

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

Citations6
Published2013
Admission routes2
Has abstractyes

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