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Rochester, New York

2007· book-chapter· en· W4388242996 on OpenAlexaboutno aff
Lyman C. Wynne, Sharon K. Holmberg

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldHealth Professions
TopicPublic Health Policies and Education
Canadian institutionsnot available
Fundersnot available
KeywordsMetropolitan areaJurisdictionGeographyMental healthArchaeologySocioeconomicsPolitical scienceSociologyMedicineLawPsychiatry

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.509
Threshold uncertainty score0.700

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.5090.292

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.

Opus teacher head0.295
GPT teacher head0.500
Teacher spread0.205 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2007
Admission routes1
Has abstractyes

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