Intersex Studies: A Systematic Review of International Health Literature
Bibliographic record
Abstract
There is a need to better understand contemporary issues of nomenclature and group construction around people with intersex variations shaping health research and practices—including their framing within concepts like disorders of sex development (DSD), intersex, or the lesbian, gay, bisexual, transgender, and intersex (LGBTI) umbrella. This article reviews health literature in the broad field of Intersex Studies since 2015. It outlines the contexts, theoretical lenses, methods and participant numbers, framing of participants, and health findings around interventions evident in 61 sources. Sources came from the African region, American Canadian region, Asia-Pacific region, European region, and the Middle East. While health-related work was largely found in medical journals, it was also located in publications focused on a range of other fields including, for example, bioethics, education, and legal studies. The piece discusses the tensions between institutional expert-centered work with a traditional clinical/medical lens and the arguments found in a range of other patient-centered, community group–centered, and theory-centered sources applying innovative perspectives onto key issues. Liberal Constructivist, Bioethical Narrative Inquiry, Critical Intersex Studies, and Critical LGBTI Liberationist lenses have introduced a range of methods (from autobiographical analyses through to large-scale online surveys) to questions of the need for and processes of certain health care interventions and norms in the treatment of patients with intersex variations. Problematic practices in clinical health care and research are identified and discussed: particularly the lack of adequate information dissemination and consent-gleaning in areas ranging from anatomical photography through to application of “corrective” genital surgeries.
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 | 0.023 | 0.090 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.005 |
| Bibliometrics | 0.037 | 0.038 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".