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Record W2552209325 · doi:10.1007/978-94-6300-755-9_4

Writing from the Body

2016· book-chapter· en· W2552209325 on OpenAlexaff
Celeste Snowber

Bibliographic record

VenueSensePublishers eBooks · 2016
Typebook-chapter
Languageen
FieldHealth Professions
TopicDigital Storytelling and Education
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsStorytellingOralityLiteratureAnimationArtRhythmBody languageVisual artsHistoryCommunicationPsychologyAestheticsNarrativeLiteracy

Abstract

fetched live from OpenAlex

Breath beckons to come into your words. Pulsing into a place where a rhythm of blood and bone can be transformed to ink. Though many think that writing is something for just the mind, it is also for the body. Language originates through orality, where words are formed in breath and saliva, tongue and throat and recesses of the belly. It wasn’t long ago when there was a culture of storytelling, and TV, email, and Internet were not present; one had to rely on presence. Be present. Be with presence. Guests and families would go to the living room and tell stories; ones which might have been passed down for years, and animation and language was a true love affair.

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 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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.146
Threshold uncertainty score0.999

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.003

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 head0.058
GPT teacher head0.330
Teacher spread0.273 · 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
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

Citations2
Published2016
Admission routes1
Has abstractyes

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