Ethnic Identity among the Mexican Origin Population: 1965-2000
Bibliographic record
Abstract
Ethnic Identity among the Mexican Origin Population in the Mid-1960s The Mexican origin population varies widely in its choice of ethnic labels. These include terms such as Mexican, Mexicano, Mexican American, and Chicano or even more broad labels such as Spanish American or Latin American. This paper examines choice of ethnic labels among the Mexican origin population in Los Angeles in the mid-1960s (utilizing data from a 1965-66 representative survey of Mexican origin persons in Los Angeles County) and the late 1990s (with data from a follow-up survey of the same individuals in 1988-2001). In this paper, we focus on the 1960s data but we plan to replicate the analysis with the 90s data and compare both time periods. We have recently completed the data collection and are about to begin the analysis of the second wave. With the 60s data, we find that nearly half of the population identified as Mexican(o) even though more than two-thirds was U.S. born. We observe strong immigrant/generational differences indicating that identification with Mexican(o) declines monotonically with more years and generations in the U.S. while identification with Mexican-American and American
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".