Book Review of: Barkin, Janna. (2017). He's Always Been My Son: A Mother's Story About Raising Her Transgender Son. Philadelphia: Jessica Kingsley Publishers.
Bibliographic record
Abstract
A Mother's Story About Raising HerTransgender Son" written by Janna Barkin, Barkin's purpose is to bring awareness and acceptance to the transgender community, as well as to inspire others.Barkin accomplishes this by discussing the journey of her own transgender son Amaya, as he developed and transitioned from a female to a male.Throughout the book, Barkin discusses the transition of Amaya and the numerous difficulties he faced through the various stages, which is common to most transgender people: the before years, the early years, the tween years, the transition years, and the complete.Barkin combines various perspectives together to tell the story of the development of her child Amaya.These perspectives included but were not limited to her perspective as the mother, her husband, Amaya, her siblings, and many other family and friends.Each chapter of the book explains Amaya's transition throughout the stages in his life that are mentioned above.Barkin brings awareness to the readers that most transgender people have a very short period of time in their lives in which they feel congruent with their assigned gender.She discusses how there is a misconception out there in which people think that transgenderism is a choice among people, sometimes a cry for attention, but Barkin says that is not the case at all.In taking the audience through Amaya's story, Barkin shows the audience how transgender people often know
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.127 | 0.076 |
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".