Creole Languages and American Englishes: Multilingualism and Pediatric Speech-Language Pathology
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.
Bibliographic record
Abstract
Multilingualism is the norm, not the exception, with most children speaking more than one language daily. These factors have motivated an increased need to better understand language use in the growing population of children whose cultural and linguistic background evidence language variation by way of Creole languages and dialects of American Englishes. Within speech-language pathology in the United States, however, a cultural and linguistic mismatch exists with only 8% of speech-language pathologists self-identifying as multilingual service providers. A variety of publications have documented speech-language development and disorders in speakers of majority language pairings (such as Spanish-English) to address this mismatch and the potential for misdiagnosis of speech-language function. However, there is a shortage of information on speakers of minority language pairings (such as a Creole language and its lexifier) for supporting culturally responsive practices in speech-language pathology. This clinical seminar considers multilingualism for speech-language pathology with the goal of offering a historical context. In so doing, this clinical seminar aims to address the need for distinguishing between dialect and disorder, and offer practical considerations that reduce the risk of misdiagnosis in children who speak minority languages such as Creoles (e.g., Gullah/Geechee, Jamaican Creole) and dialects of American Englishes (e.g., African American English), as examples in the context of the United States.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it