Bibliographic record
Abstract
Richard Najera, president of El Paso Lone Star Homes, Inc., speaks here about his rise to success as an electrician, home builder, banker, and communications entrepreneur. In addition, he shares his memories of his youth and his experiences as a public servant. Born in 1937, Najera attended El Paso High School, graduating in 1955. After studying electrical engineering at Texas Western College (now the University of Texas at El Paso), Najera attended apprenticeship school, finishing the four-year program in just two years. But obstructions arose when he sat for his contractor’s license due to the board’s corruption and racial discrimination. Upon notification that he had failed the exam, Najera protested the results and eventually received his license; his actions helped to open the doors to many future Mexican-American applicants. As one of El Paso’s first Mexican American electricians, he, along with his cousin, began Lone Star Electric with just one truck and no credit history. Paying for everything in cash, the partners soon began building their credit and establishing a solid reputation as one of only a handful of local electrical contractor companies. In 1973, Najera and another partner founded El Paso Lone Star Homes/Electric, entering into the home-building business. Also around that time, he and several other investors began the Mission Savings and Loan. Perhaps his most ambitious venture occurred in 1975 when he and eight others applied for and received a license through the Federal Communications Commission to start up a Spanish-language television station, which ran successfully under Najera’s stewardship for over ten years. In 1987, the partners of Channel 26 sold the station for $40,000,000. As Najera’s reputation grew, he was asked to participate in several public roles. For example, he sat on El Paso’s Electrical Advisory Board for sixteen years. In addition, he served as president of the local Boy’s Club for two terms, and in 1975, Najera was elected to City Council, where he again served two terms.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.000 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.347 | 0.150 |
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; the direct Gemma label and the distilled Codex classifier 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".