Deaf and Hard of Hearing Americans' Instant Messaging and E-Mail Use: A National Survey
Bibliographic record
Abstract
An online survey of 884 deaf and hard of hearing adults asked about their current and past use of communication technologies, notably TTY, telecommunications relay services, e-mail, and instant messaging (IM). Results showed that respondents were using e-mail and IM far more than TTY and relay services. The study participants virtually all had e-mail and IM at home. In fact, about one quarter had a high-speed ("broadband") connection at home. While the vast majority also had and used e-mail at work, just 1 in 3 had IM at his or her place of employment. The findings have several implications. Most important for educators is that strong reading and writing skills are essential if adults who are deaf or hard of hearing are to take advantage of today's communications technologies. Another conclusion is that some workers who are deaf or hard of hearing appear to face discrimination in employment because office policies forbid the use of a highly effective reasonable accommodation, instant messaging.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".