Bibliographic record
Abstract
This article explores how individuals who identify as transgendered and transsexual men experience the internal possibilities, limitations, and resistances found in spaces identified as ‘lesbian’ or as ‘queer’ in the City of Toronto. The article draws on interview data transcribing the experiences of 12 transgender and transsexual individuals in LGBTQ (lesbian, gay, bisexual, trans, and queer) spaces. These interviews empirically illustrate how fluid and unfixed gendered and sexualized practices can transform spaces and their occupants. Further, this article considers the ways spaces may be ‘queered’ and the implications of these processes on the constitution of LGBTQ spaces. The experiences of transmen in lesbian and queer spaces bring into sharp relief the complex ways that material spaces, even those arising out of resistive impulses, incorporate disciplining expectations and new opportunities. Those who research or utilize these places must be attentive to these processes, if there is to be a serious commitment to the creation of libratory, inclusive spaces.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.022 | 0.026 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".