Bibliographic record
Abstract
Mrs. Santacruz talks about meeting her husband, José Guadalupe de Santacruz Rangel, in her home town of Ojocaliente, Zacatecas, México; when she was eighteen years old, they married; he was twenty years old at the time; they lived in Ojocaliente for a few years before he decided to enlist in the bracero program, because he was not earning enough money; as a bracero, he labored in the fields of California irrigating crops; he suffered greatly while crossing into the United States, because of the exams he had to endure; after a year, in the program, he sent her money to move to Mexicali, Baja California, México, with their two children; she was able to obtain a legal passport, and they would meet at a park in Calexico, California; they went on to have ten more children in México, twelve in total; José sent roughly two hundred dollars to her every two weeks; Melitona was able to pay rent and feed all their children with that money; she briefly talks about their life after the program; José later died during the early 1990s.
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.
How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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; both teacher heads agree on what is shown here.
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".