Bibliographic record
Abstract
Abstract Metropolitan Rochester, New York, is located at about the midpoint of the southern shore of Lake Ontario, 550 km northwest of New York City. Rochester is the core city for an area about 110 km from east to west and about 80 km north to south. Monroe County, which runs some 60 km from east to west, is the jurisdiction within this metropolitan area in which most of the mental health services are provided. While surrounding counties have some of their own services, persons with severe problems, such as psychosis, come into the city medical facilities. Rochester’s strategic location has meant that there is very little duplication of resources within the area. From the epidemiological standpoint, this has two consequences: (1) At the time of primary data collection, there was no significant “leakage” from the area of persons with acute psychoses; all were screened through the Emergency Department of Strong Memorial Hospital, the site of the Rochester WHO Center. (2) Mobility is primarily from one neighborhood to another (e.g., from the inner city to the suburbs). People tend to stay within Monroe County and continue to receive public health care services within the same jurisdiction.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.509 | 0.292 |
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".