Preguntas y frases para una nieta americana
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<p>“Preguntas y frases” is an imagined letter from my grandmother. It is composed of Spanish words and phrases (including missing accents and misspellings) as my grandmother, Esther, wrote them in 1983 in a series of letters she sent to my mother while my mother was living abroad in Ecuador. In those letters, Esther spoken plainly with her daughter—principally, by questioning her decision to leave the United States and asking that my mother back home to Calexico, California.</p><p>Many years after my grandmother’s death, my mother found these letters tucked away in the house attic. When my mother shared these letters with me, it was startling for me to see and hear so clearly my grandmother’s voice and way of speaking after so many years since her passing. In response, I wrote “Preguntas y frases para una nieta americana.” The title is inspired by Teresa Palomo Acosta’s poem “Preguntas y frases para una bisabuela española” in which Acosta reflects on her Spanish heritage by writing a letter to her great Spanish grandmother. In contrast, “Preguntas y frases para una nieta americana” reflects on American assimilation and what is lost, protected, and honored across three generations of Mexican American women. The letter is my imagination of what my grandmother would say to me today if she were to write me—and speak plainly—as she had with my mother all those years ago.</p>
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 it