Only Human: Mental-Health Difficulties Among Clinical, Counseling, and School Psychology Faculty and Trainees
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
How common are mental-health difficulties among applied psychologists? This question is paradoxically neglected, perhaps because disclosure and discussion of these experiences remain taboo within the field. This study documented high rates of mental-health difficulties (both diagnosed and undiagnosed) among faculty, graduate students, and others affiliated with accredited doctoral and internship programs in clinical, counseling, and school psychology. More than 80% of respondents ( n = 1,395 of 1,692) reported a lifetime history mental-health difficulties, and nearly half (48%) reported a diagnosed mental disorder. Among those with diagnosed and undiagnosed mental-health difficulties, the most common reported concerns were depression, generalized anxiety disorder, and suicidal thoughts or behaviors. Participants who reported diagnosed mental disorders endorsed, on average, more specific mental-health difficulties and were more likely to report current difficulties than were undiagnosed participants. Graduate students were more likely to endorse both diagnosed and undiagnosed mental-health difficulties than were faculty, and they were more likely to report ongoing difficulties. Overall, rates of mental disorders within clinical, counseling, and school-psychology faculty and trainees were similar to or greater than those observed in the general population. We discuss the implications of these results and suggest specific directions for future research on this heretofore neglected topic.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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