Bibliographic record
Abstract
Many vibrant neighborhoods in West Michigan have large, growing Hispanic populations. In fact, Hispanics are one of the fastest growing segments of West Michigan’s population, due to high immigration and birth rates. According to the U.S. Census, over 94,000 Hispanics lived in Kent, Ottawa, Muskegon, and Allegan Counties in 2006 — a little more than 7% of the total population — and that population has doubled since 1994. But the population of Hispanic individuals is not all that is growing. The number and variety of Hispanic-owned or Hispanic-focused businesses in Kent County is also increasing, evidenced by block after block of colorful retail storefronts on south Grandville Avenue (a.k.a. “Cesar E. Chávez Boulevard” for the legendary leader of migrant workers), on the west end of Bridge Street, and on South Division to 44th Street. There you will find an array of stores and services, from accountants and beauty shops to restaurants and supermarkets, most of which appear to be targeted to Spanish-speaking customers.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".