Transgender inclusion and the changing face of lesbian softball leagues
Bibliographic record
Abstract
This article examines the re-negotiation of sex-based boundaries within the context of transgender/transsexual inclusion in North American lesbian softball leagues. Semi-structured interviews with transgender participants combined with participant observation have been undertaken. We focus on the ‘climate’ ( Hall and Sandler, 1982 ) for transgender participation in lesbian softball leagues that have adopted radical (non sex-binary-based) transinclusive policies. The majority of our research participants report positive experiences of inclusion and our own observations inform us that trans participation has already changed the faces of these leagues to the extent that lesbian identity is being queered: it is shifting away, at least to some degree, from assumed biological commonality to cultural affinity. Positive experiences, however, were more uniformly reported by transgender women than by transmen. A number of transmen, while reporting experiences of inclusion, expressed both personal ambivalence about participating in lesbian sporting and non-sporting spaces and a desire for fuller inclusion in the form of sensitivity and awareness concerning the use of gendered pronouns and categorical invocations. Our study documents cultural processes of sex boundary re-negotiation. As such it builds on previous scholarship ( Travers, 2006 ) that suggests that lesbian softball leagues with non-sex-binary based transinclusive policies may offer a model for queering mainstream sporting spaces away from the socially constructed categories of the two sex system.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.012 | 0.007 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".