Leisure and recreational “girl‐boy” activities—studying the unique challenges provided by transgendered young people
Bibliographic record
Abstract
Transgendered young people—transsexuals, cross‐dressers, gender benders/ blenders—challenge recreation and leisure professionals because their gender identity and expressions differ from society's role expectations of what it means to be male or female. These young people confront traditional “girl‐boy” activities associated with gender stereotyping. An exploratory study of 22 male‐to‐female transgendered young people discovered they knew that they were transgendered and acted on their gender‐non‐conforming behaviours at an early age; and they behaved in gender atypical ways, e.g., liking dolls, preferring female playmates, never preferring boys’ games and never imaging themselves as sports figures. Outcomes of this exploratory study are used to generate directions for research that would enhance research‐based programming conducive to transgendered young people's participation in recreation and leisure activities.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".