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Record W2080785227 · doi:10.1007/s10897-010-9343-8

Sex Testing or Gender Verification: Is There a Difference and Does it Matter?

2010· letter· en· W2080785227 on OpenAlexaff
Rachel M McBride, Jehannine Austin

Bibliographic record

VenueJournal of Genetic Counseling · 2010
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSexual Differentiation and Disorders
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsContext (archaeology)PsychologyDisorders of sex developmentGender identityIdentity (music)Social psychologyMedicine

Abstract

fetched live from OpenAlex

We were delighted to see the three commentaries published in the December 2010 issue of JOGC addressing issues surrounding the ethics of sex testing in high-level sports (Caplan 2010; Hercher 2010; Wonkam et al. 2010). We concur that the situation surrounding Caster Semenya highlights a number of significant ethical concerns that need to be addressed and challenged. However, we noted that all three commentaries use the terms “sex” and “gender” interchangeably, as synonyms. The usage of these terms in this way reflects how they are used by sport governing bodies, the media, and indeed an increasing number of academic publications (Haig 2004; King 2010). Despite this, the intention of the two terms was to convey different meanings. The distinction between the meanings of the terms sex and gender has been well established in the social science and medical fields and is clearly defined by, for example, the World Health Organization (WHO 2010), American Psychological Association (APA 2001) and the Institute of Medicine (IOM 2001). Sex is defined within a context of biology and physiology. Parameters of sex can include chromosomal sex, gonadal sex, hormonal sex, internal reproductive structures, external genitalia and “brain” sex (Migeon & Wisniewski 1998). In contrast, the concept of gender is constructed based on the socially defined patterns of society and culture and can be thought of as a combination of gender identity and gender role (Money & Ehrhardt 1972). Gender identity refers to an individual's fundamental sense of belonging to a sex. Gender role on the other hand is defined as behaviors, attitudes and personality traits within a given cultural and historical context. Gender role most often falls between masculine and feminine and is typically, but not always, correlated with a specific sex (male or female). We were pleased that the commentaries pointed out that physical sex is in fact multidimensional in nature; one parameter does not necessarily trump the others. This is well illustrated by disorders of sex development, where some indicators of sex- such as chromosomes - do not necessarily dictate other biological indicators of sex such as body morphology or hormone levels. Similarly, one is not always either 100% masculine or 100% feminine - gender is quite fluid and dependent on circumstance. Thus, neither sex nor gender is unequivocally definable in binary terms. Further, although gender – similar to many other traits - may be influenced (not necessarily determined) by genetics, non-biological influences confound any attempt to measure expression of gender by looking at biological characteristics. Essentially, gender can only be measured psychometrically (Thompson et al. 1992), and any attempt to measure the construct through biological investigation is based on a fallacy. By assessing factors such as anatomy, genetics, and endocrinology, the International Association of Athletics Federations (IAAF) and International Olympic Committee (IOC) are not “verifying gender,” at best they are gathering information about sex (IAAF 2006). We appreciate that often the motivation for using the term “gender” when the issue under consideration is actually “sex” is the commendable desire to use language that is less reactionary and provocative. We argue, however, that this strategy is misguided as it disregards the fundamental differences between the two concepts outlined above. Most specifically, ensuring that these two terms retain different meanings allows us, as genetic counselors, to communicate more accurate and nuanced information with all patients and families, but particularly those affected by disorders of sex development (DSDs) and gender identity. Some DSDs, for example, have clinically established sex and gender identity outcomes, such as the typical female body morphology and feminine identity of individuals with complete androgen insensitivity syndrome (Hines et al. 2003; Schoenbucher et al. 2010; Wisniewski & Migeon 2002). Affected families and individuals face significant challenges in conceptually understanding and finding the language to describe DSDs. As health care professionals if we are clear ourselves about the conceptual differences between sex and gender, we may be better able to help our patients and their families understand and articulate issues they face, and more generally, we will be better placed to effectively counsel our patients (Gough et al. 2008). We commend the authors of these commentaries for tackling practices of the athletic community related to “gender verification” for athletic competition and advocating for confidentiality, sensitivity and justification when it comes to this testing process. In addition, we feel it is important for the genetic counseling community to challenge tendencies in the broader community to conflate the concepts of sex and gender. What we lose by buying into the synonymic use of these words are sensitivity and cultural competence in our care of patients. The distinction between the social and the biological is lost. We may be alienating ourselves from those who, consciously or unconsciously, express gender differently than that culturally assigned to their sex. By perpetuating stereotypes we may be treading on the beliefs, attitudes, values and expectations of our patients as well as missing out on important information about those under our care. We hope that future discussions may reflect the distinction between sex and gender in hopes of improving our practice and our awareness of this fundamental issue.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.563
Threshold uncertainty score0.712

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.027
GPT teacher head0.268
Teacher spread0.241 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2010
Admission routes1
Has abstractyes

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