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Record W1467620657 · doi:10.1017/cbo9781139342872.018

The architecture of intersubjectivity revisited

2014· book-chapter· en· W1467620657 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCambridge University Press eBooks · 2014
Typebook-chapter
Languageen
FieldArts and Humanities
TopicLanguage, Discourse, Communication Strategies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSign (mathematics)LinguisticsSign languageIntersubjectivitySyntaxPhonologySign systemManually coded languageSemantics (computer science)Computer scienceSociologyPhilosophyMathematicsSocial scienceProgramming language

Abstract

fetched live from OpenAlex

Humans naturally acquire the language or languages that they are exposed to in early childhood, but these languages are different from one another and are all the product of historical change over many millennia, much of it resulting from chance. Natural sign languages are social creations that emerge in communities with an acute need to communicate. Many sign languages in Europe and North America developed from the establishment of schools for deaf children through the eighteenth and nineteenth centuries. The study of new sign languages such as Al-Sayyid Bedouin Sign Language (ABSL) offers a real-life view of how a language emerges a new, how it conventionalizes and spreads across users in a community. A fundamental property of human language is the existence of syntax, the level of organization that contains conventions for combining symbolic units, the words. The chapter also discusses lexicons, phonology, morphology, and semantics that characterize language.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.978
Threshold uncertainty score0.876

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.029
GPT teacher head0.214
Teacher spread0.185 · 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