Bibliographic record
Abstract
My abuelito, Andrés Rocha, was born in 1914 on a horse ranch in San Isidro, Texas, forty miles northeast of the Rio Grande River.His was the last generation of Texican vaqueros.His father, Crecencio Rocha, died from a head injury sustained while breaking horses, leaving a teenage Andrés to look after his mother, eight brothers, and three sisters.He met my abuelita, Elida Vela, from a nearby ranch, at a weekend dance.They married soon thereafter.When the lease on the land where his family worked and lived for at least two generations was terminated, the young couple moved from San Isidro to Pharr, Texas, a town about fifty miles to the south, ten miles away from Reynosa, Mexico.They bought a plot of land -a solar -on what had been an orange orchard and began to build their home next to brothers and sisters who had already moved into town.More family followed thereafter.Both of my grandparents worked at the local bodega, packing vegetables, and traveled seasonally to pick crops around the United States.Unable to have children, they legally adopted my father, who was born in their home.They also unofficially adopted a number of homeless boys, like my Tío, Juan.The winter before my abuelito died, I phoned him from Columbus, Ohio, to wish him a merry Christmas.I tried to explain why I was absent.I wanted to describe what I was doing -writing my dissertation -so I told him I was writing a book and how time-consuming it was.I didn't want to talk about money because he didn't have any, and I didn't want him to feel bad about it.I felt guilty, but he understood.As distant as our worlds had become, he made sense of it all somehow and gave me his blessing in the final words I would ever hear him speak in person: "No le aflojes mijo."
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.022 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| 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".