Is There an App for That? Apps for Post-Secondary Students With Attention Hyperactivity Disorder (ADHD)
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
We compiled a comprehensive list of apps related to coping with academic work by post-secondary students with attention deficit hyperactivity disorder (ADHD) by examining 23 recent sources. Most of these were based on the opinion of single individuals, including persons with ADHD and experts. To discover relatively common apps, we summed the number of sources that mentioned each app and then checked with the Apple App Store and the Google Play Store to ensure availability in the summer of 2020. In the process it became apparent that while most apps directly supported schoolwork (e.g., calendars, timers, reminders) there were a variety of apps that, while not directly related to schoolwork, were apps that can support academic achievement by dealing with daily life demands (not ADHD therapy or assessment). We categorized apps related to both schoolwork as well as to aspects of daily life demands that can make academic work easier. Here we present the 20 most frequently mentioned schoolwork related apps and the eight most frequently mentioned daily life demands apps. Our findings suggest that if access coordinators, campus disability service providers, ADHD coaches and students with ADHD focus solely on schoolwork related apps, they will be missing an important part of the equation. They need to broaden their scope to ensure that students also have the help they need to structure and manage their daily life responsibilities, rather than simply focusing on doing schoolwork.
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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it