Harms of the current global anti-FGM campaign
Bibliographic record
Abstract
Traditional female genital practices, though long-standing in many cultures, have become the focus of an expansive global campaign against 'female genital mutilation' (FGM). In this article, we critically examine the harms produced by the anti-FGM discourse and policies, despite their grounding in human rights and health advocacy. We argue that a ubiquitous 'standard tale' obscures the diversity of practices, meanings and experiences among those affected. This discourse, driven by a heavily racialised and ethnocentric framework, has led to unintended but serious consequences: the erosion of trust in healthcare settings, the silencing of dissenting or nuanced community voices, racial profiling and disproportionate legal surveillance of migrant families. Moreover, we highlight a troubling double standard that legitimises comparable genital surgeries in Western contexts while condemning similar procedures in others. We call for more balanced and evidence-based journalism, policy and public discourse-ones that account for cultural complexity and avoid the reductive and stigmatising force of the term 'mutilation'. A re-evaluation of advocacy strategies is needed to ensure that they do not reproduce the very injustices they aim to challenge.
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 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 | 0.004 | 0.020 |
| 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 | 0.003 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".