Puerto Ricans in Ohio: 2010-2018
Bibliographic record
Abstract
According to the U.S. Census Bureau, in 2018, Ohio had the 10th largest concentration of Puerto Ricans in the United States (137,104). Puerto Ricans accounted for 1.2 percent of the total population in Ohio. Despite the low proportion of the total Ohio population Puerto Ricans represented, this number has grown from 94,965 in 2010 to 137,104 in 2018 – an increase of more than 44%. Hispanics accounted for 3.9 percent of the total population in Ohio, and Puerto Ricans represented 30.1 percent of the state’s Hispanic or Latino population in 2018. Therefore, nearly one in every three Latinos in Ohio was Puerto Rican. As of 2018, the Puerto Rican population was the second largest group of Latinos in Ohio after Mexicans (45.3%), and together they comprised 75 percent of the state’s Latino population. The other quarter of the Latino population was comprised of Central Americans (8.4%), other Latinos who did not specify national origin (5.9%), South Americans (5.2%), Dominicans (2.7%), and lastly Cubans (2.5%).
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.004 |
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".