Arah Parker and others (discussing North Fontana)
Bibliographic record
Abstract
North Fontana residents, Arah Parker, Marcille Christian, Frederick Christian, and Ellen Turner, share their experiences of living in north Fontana, a historic Black community shaped by segregation in Fontana. They describe their parents' migration to the I.E. and how they were confined north of Baseline because of housing discrimination. Frederick describes the creation of the “Track,” the core of North Fontana’s Black community in the 50s and 60s, and the ways different housing tracks shaped which schools children attended. Ellen Turner describes how her mother, Jessie Turner, was instrumental to North Fontana through her work on the local Black newspapers, and her community activism for local infrastructure and busing. She highlights her perseverance even in the face of backlash from the KKK. They reveal glimpses of North Fontana’s history, how local churches were pillars for the community, how the community organized to make voting easier, and the fate of local businesses and the recreation center after the 210 Freeway split. They contribute stories of the creation of the Black History Parade, how racial violence presented itself in the community, and the presence of gangs in North Fontana. They share their insights on how Fontana has changed–both positively and negatively.
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 | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".