Demographics of the Patient Population of a Free Clinic in Vancouver, Washington
Bibliographic record
Abstract
The mission of The Free Clinic of Southwest Washington (FCSW) is "to provide free, compassionate, quality medical care to children and adults who are otherwise unable to access health services." FCSW operates two evenings per week for walk in patient visits and holds monthly immunization clinics. Medical providers and nurses, as well as laboratory and pharmacy personnel all work on a voluntary basis. Funding for FCSW services currently comes from private foundation and industry grants and a large portion of the clinic space and supplies are obtained by donation. FCSW does not receive any financial support from federal, state, or local governments.\nSome donors request details about patient demographics and evidence of community support before making donations or awarding grants. The objectives of this project were to organize and standardize the data from patient visits during recent years to enable its transfer into a new Access® database; to assist with testing and refining of the new software; to assist in the production of the first year-by-year report profiling the patient demographics and illnesses treated at FCSW; and to produce user documentation of the new software to aid in the training of clinic personnel.\nThe data organization comprised the bulk of the project's time allotment. It resulted in over 9000 patient visit records being transferred into the Access® database. The first year-by-year patient demographic profile reports were generated for the years 1995 through 1999.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".