Defying the deficit: Imagining intersections of occupation, gender euphoria, and trans joy
Bibliographic record
Abstract
Growing awareness and interest in understanding and addressing the occupational needs of transgender and gender-diverse (TGD) populations calls for further discussion surrounding how occupation is vital in facilitating trans joy and gender euphoria. Dominant discourses referring to TGD experiences largely focus on stories of challenge, statistics that demonstrate poor health outcomes compared to cisgender populations, and the medicalized aspects of gender transition. While recognizing that these experiences are relevant and important for many TGD people, it is equally important to include stories of joy and positivity. Within occupational science, there lies potential for exploring and deepening the understanding of how occupations facilitate positive gender-based experiences and feelings. This paper defies deficit-based understandings of TGD experiences and discusses the undeniable connection between gender euphoria, trans joy, and occupation. Finally, actionable steps are offered to ensure the ways of thinking about occupation from a place of centering joy can be integrated in tangible and impactful ways.
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.043 |
| Scholarly communication | 0.012 | 0.014 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".