Latino Group Consciousness and Perceptions of Commonality with African Americans<sup>*</sup>
Bibliographic record
Abstract
Objective. Currently, Latinos and African Americans constitute more than one‐quarter of the U.S. population. The sheer size of these groups suggests an opportunity for increased political influence, with this opportunity providing the incentive for greater social and political interaction between them. The objective of this article is to determine the role of Latino group consciousness in the formation of attitudes toward African Americans. Methods. Utilizing data from the 1999 Washington Post/Henry J. Kaiser Family Foundation National Survey on Latinos, a multivariate ordered logit model is employed to test the relationship between Latino group consciousness and perceptions of commonality with African Americans. Results. Results show that group consciousness in the form of Latino internal commonality and perceived discrimination are contributors to Latino perceptions of commonality with African Americans. Conclusion. This analysis demonstrates that before any meaningful political alliances can be formed between the nation's two largest minority groups, Latinos may need to develop strong levels of panethnic identity.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".