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Record W2476095206 · doi:10.1075/lfab.2.07blo

Symmetry and children’s poetry in sign languages

2009· book-chapter· en· W2476095206 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueLanguage faculty and beyond · 2009
Typebook-chapter
Languageen
FieldPsychology
TopicHearing Impairment and Communication
Canadian institutionsnot available
Fundersnot available
KeywordsPoetrySign (mathematics)Symmetry (geometry)LinguisticsLiteraturePhilosophyTheoretical physicsArtMathematicsPhysicsGeometryMathematical analysis

Abstract

fetched live from OpenAlex

Within the overall framework of research into properties common to poetic forms around the world, we concentrate here on the properties of symmetry and binarity. These two aspects of structure are general enough in nature to allow us to extend poetic analysis to Sign Languages (SLs), which are distinguished by their use of the visual-gestural modality. We show, via an analysis of children’s poetry in five SLs (Blondel, 2000) and a fable in Quebec Sign Language (LSQ) (Blondel, Miller & Parisot, 2006) that the structure of poetic signed discourse is based on principles of binary rhythm and spatial symmetry. Studying these structures demonstrates the utility of the syllabic-moraic model of movement in LSQ proposed in Miller (1997) and allows us to compare the relation between the poetic text and rhythm in oral nursery rhymes on one hand and, on the other, the relation between spatial and rhythmic properties in signed performances of children’s literature.

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: Observational · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.874
Threshold uncertainty score0.998

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.310
Teacher spread0.293 · 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