Kathy Oberst Ledger interview, 10 July 2017
Bibliographic record
Abstract
Kathy Oberst Ledger was born in New York and moved as a child to the Detroit Shoreway neighborhood. Ledger recalls when Detroit Shoreway. After getting married she moved to the Clark-Fulton neighborhood, which she recalls had a large Appalachian population mostly from West Virginia. She recalls that many Spanish-speaking residents moved to Clark-Fulton from Tremont. She discusses taking over Judy's White Oaks, a bar her parents ran, and turning it into a nightclub called Diamond Dill's Tropical Lounge in the late 1980s. She contrasts its cosmopolitan clientele from its predecessor's mostly Appalachian white patronage and believes that neighbors' hostility toward this diversity led to the city forcing the club's closure and demolition just two years later after she refused to install a steel beam that an inspector claimed was needed. Ledger has been actively trying to revitalize her community through her own initiatives, working closely with Metro West Community Development Organization, and applying for grants from Neighborhood Connections. Most of her efforts have been geared toward community gardening and positioning the neighborhood as an "International Village."
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.053 | 0.011 |
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".