Bibliographic record
Abstract
With the exception of Plains Indian Sign Language and Pacific Northwest sawmill sign languages, highly developed alternate sign languages (sign languages typically employed by and for the hearing) share not only common structural linguistic features, but their use is also characterized by convergent ideological commitments concerning communicative medium and linguistic modality. Though both modalities encode comparable denotational content, speaker-signers tend to understand manual-visual sign as a pragmatically appropriate substitute for oral-aural speech. This paper suggests that two understudied clusters of alternate sign languages, Armenian and Cape York Peninsula sign languages, offer a general model for the development of alternate sign languages, one in which the gesture-to-sign continuum is dialectically linked to hypertrophied forms of interactional avoidance up-to-and-including complete silence in the co-presence of affinal relations. These cases illustrate that the pragmatic appropriateness of sign over speech relies upon local semiotic ideologies which tend to conceptualize the manual-visual linguistic modality on analogy to the gestural communication employed in interactional avoidance, and thus as not counting as true language.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".