A first look at diversity gaps in psychotherapy research publications and representation
Bibliographic record
Abstract
OBJECTIVE: There is a pervasive underrepresentation of researchers and clinicians from diverse backgrounds in psychology. This is the first study to focus on diversity gaps in Psychotherapy Research. We examine a gap in the representation of research from low-income countries and summarize barriers and solutions to increase diversity in the field. METHOD: , between 28 April 2005 and 22 June 2023. RESULTS: Most submissions were from Europe and North America, with the fewest from Africa and Asia/Northeast Asia. High-income countries had significantly more submissions than low-income countries, with gaps increasing over time. North America and Europe had the highest acceptance rates and Africa and Asia/Southeast Asia had the lowest rates. CONCLUSION: is one of the most internationally representative journals in the field. Yet, we found underrepresentation of non-western countries. There is a need to increase the representation of research participants and researchers from non-western countries through direct initiatives and investments in research and researchers from underrepresented backgrounds.
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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 | 0.081 | 0.346 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.020 | 0.022 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.010 | 0.018 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".