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Record W2742737590

More-than-human voices in Dene poetics documentation

2017· other· en· W2742737590 on OpenAlexaboutno aff
Jasmine Spencer

Bibliographic record

VenueAmericanae (AECID Library) · 2017
Typeother
Languageen
FieldArts and Humanities
TopicDiverse Musicological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsVocabularyActive listeningPoeticsContext (archaeology)SoundscapeDocumentationLinguisticsHistoryAestheticsCommunicationSociologyLiteratureComputer scienceArtSound (geography)
DOInot available

Abstract

fetched live from OpenAlex

In this paper, I will share some of my findings from comparing a textualized traditional oral Dene (Athabaskan) story with the audio recording. The story, which is a South Slavey/Dene Dha story from northern Alberta, was recorded in 1981 and published in Wolverine Myths and Visions (Moore and Wheelock 1990). My analysis is a case-study in the poetics of expressive variation in Dene Dha. In re-integrating print and sound, I adapt, to the problem of the archive, Larry Kimura’s insight that people need to hear “traditional use of the language such as in folk story telling, stories that are filled with all sorts of expressions and vocabulary in a myriad of situations,” which has inspired him to teach by asking his students to re-tell stories orally to other students (Kimura 2015, 2016). Traditional story self-perpetuates: you can tell that a story is good when you feel the urge to re-tell it. Animals teach through story: thus we need to listen for the animal in all the ways we can. Animals are ever-powerful in Dene stories: thus my project is to seek out the animal voice within human stories about these other-than-human people. To “hear” this voice of the more-than-human, I have formed an interpretive methodology for identifying the expressions and vocabulary permitting the animal to be heard. These I term the “soundscape” of the story, integrating context with content to push at the limits of human “listening.” The soundscape which I listen for, in Dene Dha, thus includes: background noise and audience responses; breath; stammering, repetition, and onomatopoeia; intonation (vs. lexical tone); phonological variation in evidentials; represented speech and thought; animacy markers; and sequencing of verb modes. In undertaking this project, I seek to adapt ethnopoetic practice (e.g. Hymes 1981) to the practice of “poetics documentation” (Tuttle 2016) of Dene narrative meaning. Poetics here refers to the study of the multimodal aural and visual narrative inputs through which form and structure transform the referential content of linguistic acts into reflexive and regenerative systems that produce unique responses in listeners and readers. The phenomena which constitute oral poetics are language- but also body-based, contingent upon social realties, and consistent with ecological and esoteric, animal-based truths which guide the speech and actions of contemporary Dene speakers pursuing language-documentation and revitalization. Documentation of expressive tradition is crucial, and I would be very grateful for feedback on my method from experts in the field. Works Cited Hymes, Dell. “In Vain I Tried to Tell You”: Essays in Native American Ethnopoetics. Philadelphia: U of Pennsylvania P, 1981. Kimura, Larry. “Language in the Present Workshop” keynote address. University of Victoria, 26-27 Sept. 2015. ---. Personal communication, 2016. Moore, Patrick, and Angela Wheelock, eds. Wolverine Myths and Visions: Dene Traditions from Northern Alberta. Lincoln: U of Nebraska P, 1990. Print. Tuttle, Siri. Personal communication, 2016.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.106
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0510.001

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 head0.043
GPT teacher head0.262
Teacher spread0.219 · 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
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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