Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Interviewers: Brian Purnell and Oghentoja Okoh\nInterviewee: Veronica Buapin\nDate Of Interview: October 5, 2004\nSummarized By Eddie Mikus\nVeronica Buapim is a Bronx resident who was born to Ghanaian immigrant families. Her life story depicts the experiences of a Ghanaian growing up in New York City as well as the evolution of the city’s community.\nBuapim was born on March 10, 1983, at Our Lady of Mercy Hospital. Her parents came from different Ghanaian tribes and had 9 other children (seven of which were full siblings to Buapim). Buapim grew up in a residence called Academy Gardens, which was across the street from the Soundview projects. As a child, her father attempted to maintain some Ghanaian cultural practices within the family home; however, her mother focused more on religion than on culture and Buapim never learned how to speak Twi. During her high school days, Buapim made friends with a few other Ghanaian students and took part in after-school activities such as student government and tennis.\nDuring her childhood, Buapim witnessed several demographic and lifestyle changes that occurred in the Bronx. For example, she said that in the 1980’s there were more blacks in the building where she lived, while the present population is more Hispanic. Furthermore, Buapim said that the building had a vibrant sense of community and a well-attended summer camp prior to a takeover by new management when Buapim was 12 years old. She also noticed increases in street violence and use of marijuana in the years after the new management took over—even relating an anecdote about how her brother was hurt in the ankle due to a gunshot.
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.
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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 it