“In the name of the fear, the shame & the hegemonic guilt :” a SIRmon from trans Christian men to the church
Bibliographic record
Abstract
With a resurgence of anti-LGBTQIA+ propaganda in Canada, this thesis addresses the source of a long history of hatred of trans people in conservative Christian communities, and the belief that trans and Christian identities are mutually exclusive. The current dominant narrative addressing anti-trans rhetoric focuses on the implications of normative masculinity and combating its evolution into "toxic masculinity" within the sex/gender system. Vatican documents are prime sources of reinforcement of "toxic masculinity" in both Christian and secular Western society. A language shift from toxicity to hegemony guides my exploration of hegemonic Catholic theology and its roots in hegemonic gender ideology. The goal of this research is to combat the weaponization of Christianity against LGBTQIA+ communities, particularly trans communities, by dismantling its weaponry of fear, shame, and guilt. A narrative analysis of two trans Christian men’s memoirs—My Name is Brett: Truths From a Trans Christian (2015) by Brett Ray, and Trans Boomer: My Journey From Female to Male (2015) by Lee Jay—uses a mixed theoretical framework of queer theology, intersectionality, transfeminism, body theology, and Black theology to deconstruct personal experiences of integration and tension living in the liminal space of trans-Christian identity. Ray and Jay’s memoirs show that, not only are trans men and Christianity not mutually exclusive, but the (Catholic) Church can learn and strengthen their collective relationship with God by coming to know and love God’s trans children. There is no theological justification for anti-trans rhetoric.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.020 | 0.022 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.011 | 0.028 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".