Diversity, Equity, and Inclusion: Sex and Gender and Intersectionality With Race and Ethnicity in Psoriatic Disease
Bibliographic record
Abstract
Sex (biological attributes associated with being male or female) and gender (sociocultural-driven traits and behaviors related to being a man or a woman) are emerging as important determinants of disease course and response to therapy in patients with psoriasis and psoriatic arthritis (PsA). Although psoriatic disease (PsD) is equally prevalent in men and women, the condition affects them in different and unique ways, giving rise to sex- and gender-related differences in clinical presentation, including baseline disease activity, disease course, and response to treatment. Better understanding of the roles sex and gender play in the development and evolution of PsD has the potential to improve patient care. The Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) continues its effort to highlight issues related to diversity, equity, and inclusion in people with PsD by dedicating a session during the annual meeting to sex and gender and their intersectionality with race and ethnicity in individuals with PsA.
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 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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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 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".