Lifetime Use of Cigarettes, Alcohol, Marijuana and Inhalants in Latino Early Adolescents
Bibliographic record
Abstract
A growing population in the US is Latinos, an ethnic group defined by people of origin from Latin America. By 2050, Hispanics will be at least one quarter of the United States population (U.S. Census Bureau, 2006 ) with a substantial proportion under the age of 25 (Vaughan, Kratz, & D'argent, 2011 ). Yet, the literature on substance use among Latino adolescents is not advancing parallel to the growth of the population (Szapocznik, Lopez, Prado, Schwartz, & Pantin, 2006 ). Health concerns during early adolescence can have a lasting impact on the Latino community and society at large, as early substance initiation can lead to addiction during adulthood (Behrendt, Wittchen, Höfler, Lieb, & Beesdo, 2009 ). Therefore, research that aims to identify psychosocial determinants that serve as risk and protective factors specific to Latino early adolescents is needed as a critical first step in the development of culturally specific prevention initiatives (Vaughan et al., 2011 ).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".