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Are you in pain if you say you are not? Accounts of pain in Somali–Canadian women with female genital cutting

2020· article· en· W3094120341 on OpenAlex
Mateja Perović, Danielle Jacobson, Emily Glazer, Caroline F. Pukall, Gillian Einstein

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePain · 2020
Typearticle
Languageen
FieldMedicine
TopicFemale Genital Mutilation/Cutting Issues
Canadian institutionsBaycrest HospitalQueen's UniversityPublic Health OntarioUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsLabia minoraLabia majoraMedicineClitorisSomaliLabiaChronic painVulvaPhysical therapySurgery

Abstract

fetched live from OpenAlex

ABSTRACT: As a rite of passage to womanhood, 2 million girls undergo female genital circumcision (FGC)-the tradition of cutting, and often removing parts of the vulva-every year. The current study is the first to focus on the connection between peripheral nerve damage and chronic neuropathic pain in women with FGC. We used mixed methods-quantitative, qualitative, and physiological-to study chronic pain in Somali-Canadian women (N = 14). These women have the most extensive form of FGC, which includes removal of the glans clitoris, labia minora, medial portion of the labia majora, and stitching together the remaining parts of the labia majora. Our results indicate a multifaceted pain experience in women with FGC. Although they report good overall health and very low pain levels on the short form of the McGill Pain Questionnaire, pressure-pain quantitative sensory testing of the vulvar region applied through vulvalgesiometers shows pain thresholds consistent with those reported by women with chronic vulvar pain. Furthermore, qualitative interviews reveal a considerable amount of often debilitating pain in daily life. These results challenge the use of assessment tools offering elicited verbal pain language and highlight the importance of culturally sensitive ways of conceptualizing, measuring, and managing pain.

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 imitation

Not 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.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.092
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.025
GPT teacher head0.245
Teacher spread0.221 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it