Keeping people with aphasia worldwide “COVID-informed” amid and after the pandemic
Bibliographic record
Abstract
Aphasia is an acquired language disorder commonly caused by a stroke or brain injury. A slowly growing number of studies have emerged reporting the psychosocial disruptions experienced by people with aphasia (PWA) in the present COVID-19 pandemic. To extend this topic of better addressing PWA’s rehabilitation needs, this paper aims to draw attention to the significance of helping PWA stay “COVID-informed” through the use of resources that are communicatively-accessible. Keeping PWA abreast of the evolution of the pandemic can reasonably ensure they stay connected to their society, even without an actual physical presence in their community. However, aphasia-friendly health information is currently available predominantly in English only. Similar materials are relatively scarce in other languages and not necessarily updated, albeit such a need for these resources is apparent globally. It is essential that healthcare providers ensure that accessible, comprehensible, high-quality and reliable health-related resources are made available for PWA; this will ultimately benefit them to navigate the pandemic and prepare for the post-COVID era.
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.
How this classification was reachedexpand
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 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".