Conceptualizing Masculinity in Female-to-Male Trans-Identified Individuals: A Qualitative Inquiry
Bibliographic record
Abstract
A non-normative gender identity raises questions concerning widely accepted theories of gender that prevail in Western society. These theories are founded upon dichotomous models of gender identity that are posited as having a direct relationship to binary biological sex. The purpose of this qualitative study was to explore how individuals who have transitioned from female to male (FTM) conceptualize their masculinity outside of the constraints of the binary model. Six FTM participants who had transitioned to some degree were interviewed. Through the exploration of the participants’ lived experience and understanding of their male identities, 5 major categories, 12 major themes, and 48 subthemes emerged. A process entitled Embodying a Male Identity was revealed. According to this process, the FTMs in this study embodied a male identity through a variety of experiences that serve to align external physiology with internal self. This process suggests that masculinity, which is often interpreted in the social realm as a validation of maleness, is not a requirement for, or a product of, a male gender identity. Rather, masculinity (alongside femininity) is viewed by participants as a set of traits that vary naturally in all humans (regardless of gender).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".