“Le da la mano y le sonríe”: A Plática on Creating Queer Chicanx Children’s Literature
Bibliographic record
Abstract
In this conversation between Karleen Pendleton Jiménez and Isabel Millán, they reflect on their experiences as authors and their relationship spanning over a decade. As queer Chicanx authors and scholars, they share many of the same academic spaces and communities, such as MALCS and NACCS1. In 2022, Millán published her first children’s picture book (Chabelita’s Heart/El corazón de Chabelita), whereas Pendleton Jiménez has been creating children’s literature since 19992. Her latest book for children is a middle-grade chapter book published in 2021 (The Street Belongs to Us). In what follows, they offer us a curated collection of their personal reflections and dialogues regarding their lives, their children’s books, and their visions for the future.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.030 | 0.027 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".