Can't you act like a man? : support in educational setting for children with non-mainstream sexual and gender identitites
Bibliographic record
Abstract
This study attempts to explore and restory the early experiences of a man who grew up with a non-mainstream sexual identity. Young children may be exploring non-mainstream gender and sexual identities. Resources should be in place to support these children, both at home and in school. By identifying gender and sex as constructs, heteronormative assumptions on appropriate behaviour are challenged and similarly deconstructed. Disempowerment is illuminated throughout this narrative and information provided by civil rights groups, school boards and prominent researchers are woven with the participant's thoughts, his early boards and prominent researchers are woven with the participant's thoughts, his early experiences and recommendations for the future. A narrative research design was used to develop my participant's personal story. Multiple methods of data collection were employed and individual voice was honoured. Full participation was encouraged whereby the participant made suggestions on how to improve the research process and the overall strength of his story. Additionally, as a teacher, the participant has shared his experiences and advice on including children with non-mainstream sexualities in the classroom. By exploring the narrativers of an adult who has experienced invisibility and marginality as a child, I hope to increase our understanding of the importance of supporting young children with non-mainstream sexual and gender identities and the detrimental effect that the lack of support can have upon young children's formation of identity.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".