Conceptualizing the role of mediation in an online American Sign Language teaching model for parents of deaf children
Bibliographic record
Abstract
This paper discusses the role of mediation as it arose in developing and teaching two online American Sign Language (ASL) courses for parents of deaf children during the COVID-19 pandemic. Deaf children and their families who are still acquiring ASL have ongoing learning needs that are most often not met in mainstream educational systems, and these inequities have deepened during the pandemic. Combining reception, production, and interaction, mediation is a mode of language activity in the Common European Framework of Reference for Languages (CEFR) that involves “languaging” to develop ideas and facilitate understanding and communication. In this nine-month study, intensive parent ASL courses were adapted and developed for rapid implementation of online instruction in order to meet the second or additional language ASL learning needs of parents of deaf children. Online questionnaire, interview, observational, and assessment data were gathered regarding participating parents’ learning processes and experiences. As study findings reveal, a main theme that arose was the role of mediation in terms of alleviating various barriers for participants and facilitating the linguistic and cultural dimensions of parents’ online ASL learning and understanding through cognitive and relational means.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.010 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".