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Building an Award-Winning Womenʼs Health Ambulatory Service and Beyond

2003· article· en· W2318234039 on OpenAlexaff
Lisa Allen, Susan Maxwell, John F. Greene

Bibliographic record

VenueJournal of Ambulatory Care Management · 2003
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsWomen's Health Research Institute
Fundersnot available
KeywordsProduct (mathematics)BusinessHealth careService (business)Ambulatory careQuality (philosophy)AmbulatoryNursingCompliance (psychology)Transition (genetics)MedicinePublic relationsMarketingPsychologyEconomic growthPolitical scienceEconomics

Abstract

fetched live from OpenAlex

Many barriers exist for the provision of high-quality health care to inner-city minority women. The barriers include access to care, compliance problems, financial concerns, system navigation issues, as well as language barriers. This article describes the transition of the Women's Ambulatory Health Services at Hartford Hospital from a traditional clinic model to a culturally sensitive private practice model. The road to transition was paved by valuable input from staff as well as patients. The final product was a much more efficient, inviting model that catered to the needs of the community.

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)0.005
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0070.002
Scholarly communication0.0060.002
Open science0.0010.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0230.004

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 head0.030
GPT teacher head0.393
Teacher spread0.363 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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

Citations3
Published2003
Admission routes1
Has abstractyes

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