Puberty Health and Sex Education Content for Online Educational Resources for Gender-Independent, Intersex, Non-Binary, and Transgender (GIaNT) Youth
Bibliographic record
Abstract
Gender-independent, intersex, non-binary, and transgender (GIaNT) youth have puberty health and sex education needs that are different from cisgender youth. Unfortunately, this population has historically been excluded from curricula pertaining to these issues in schools throughout the U.S. and Canada. While sex education programs are limited for all youth, and navigating puberty can range from exciting to scary for all youth, GIaNT youth are particularly vulnerable to facing negative outcomes by being omitted from such curricula. Because they are not able to access adequate information in schools and in their family/friend networks, a majority of GIaNT youth turn to the internet to seek out resources for education on puberty health and sex education. To this end, our team is in the process of creating an online educational resource (OER) that is age-appropriate and affirming for GIaNT youth to be provided with resources that are personalized to users’ unique needs. This literature review discusses content suggestions for inclusion of comprehensive puberty health and sex education that caters to GIaNT youth and their unique needs.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.058 | 0.008 |
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".