Bibliographic record
Abstract
The aim of this thesis is to raise a hypothesis about the syllabic structure of the Brazilian Sign Language (Libras), firstly attempting to find its core. For this approach the theory of syllable in Oral Language (LOs) based on authors such as Goldsmith (1990), Selkirk (1982) Collischonn (1996) among others, then phonological studies in the field of sign languages (LS) under the assumptions for instance, Frame and Karnopp (2004), Xavier (2006) and Sandler and Lillo-Martin (2006). Based on this approach, we crossed two areas of studies raising a hypothesis about the internal syllable structure in Libras based on the metric theory. By hypothesis, we confront it with data collected from our field research. To support this study, we use the proposed written signs named ELiS. The corpus was collected with deaf fluent in Libras, of both genders and various ages. Part of the corpus was collected with deaf Canadians, users of Quebecois Sign Language, however we highlight that this was only used to provide the evidence of the syllabic structure that is found in Brazil may also be found abroad. The volunteers answered a directed interview then they were asked to name pictures in their own native Sign Languages (SL). This Research allows us postulate that, as for Libras, the syllabic structure is composed as follows: Onset - Hand Configuration (which includes the Hand Shape and Orientation); Nuclei - Point of Coordination (or Location) and Coda - Movement. The search result is highly important for Libras once it strengthens phonological studies of this language as well as it leads to a way of good signal formation through its syllabic structure. It is very significant for the Deaf Community because it reaffirms the status of this language as natural and gives empowerment to its users. Besides being able to contribute to new linguistical thinking about the spoken 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
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".