Bibliographic record
Abstract
Diana Rotman was born in the Bronx to Jewish immigrant parents who migrated from what was Poland in the 1920s. The youngest of three children, Rotman grew up on Teller Avenue and remembers the demographics of the street being overwhelmingly Jewish until the Bronx’s demographics began shifting and more black and Hispanic families started moving in. This prompted Rotman’s family to move to Mosholu Parkway when she was twelve years old, where she lived until moving to Manhattan after graduating high school.\nRotman was raised in an Orthodox, Yiddish-speaking household, and her family attended shul, kept kosher, and changed dishes over at Passover. Rotman remembers feeling very safe in her neighborhood growing up and having a strong sense of community with other Jewish families that lived nearby.\nFor her education, Rotman attended Jordan Elmont Junior High before moving to PS 80 for the remainder of junior school. While her family lived close to Walton High School, Rotman attended Evander Childs High School because of her friends. She remembers Evander being predominantly Italian, a stark contrast to the Jewish majority schools she was familiar with. Additionally, Rotman remembers the limits she felt were placed on her because of her gender and becoming a secretary rather than going to college.\nOverall Rotman recalls her childhood in the Bronx as being warm, gentle, family-oriented, friendly, insulated, and secure.\nKeywords:\nTeller Avenue, Mosholu Parkway, Orchard Beach, Orthodox, Yiddish, street games, fur business, gender, Jordan Elmont Junior High, PS 80, Evander Childs High School
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.391 | 0.153 |
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".