Book Review of: Shenher, Lorimer. (2019). This One Looks Like a Boy: My Gender Journey to Life as a Man.
Bibliographic record
Abstract
My Gender Journey to Life as aMan", is a memoir in which he depicts the chronological expedition of his struggles, triumphs, and significant life events cumulating with his transition from being a female to a transgender male.Born Lorraine Shenher, Lorimer showcases his transitional adventure utilizing humour and various flashbacks to place the reader alongside him in order to frame his gender struggle in a way which is relatable to the reader.In doing so, Shenher also draws on many important influences on his life including his friends and family, sports, religion, and his employment, among others.There are four main timeframes in his life that play a dramatic shift in his gender identity, such as his early childhood and youth years, his early adulthood, his more advanced adult life, and lastly, his current gender and sex identification.There are a multitude of themes that Shenher constantly returns to throughout his book, with a notable one being fear.Fear of people figuring out his secret, fear of being abandoned by those he loves if they find out, and fear of making the right or wrong decision occurs frequently throughout his life.Another constant theme throughout the memoir is Shenher's feelings of alienation and loneliness from his peers and the rest of society, a feeling he's known from the very early stages of his life.Shenher opens with describing his earliest memory, noting an event while he was in kindergarten where he was presented the option of lining up in the boys or girls' line and chose
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.151 | 0.115 |
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".