Demographics of the Patient Population of a Free Medical Clinic in Vancouver, Washington
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
The Free Clinic ofSW Washington (FCSW) is a non-profit public charity. Their mission is ''to provide free, compassionate, quality medical care to children and adults who are otherwise unable to access health services." Medical care includes but is not inclusive to immunizations, head lice treatment, a medication clearinghouse, an emergency prescription program and other basic health care. FCS W medical services are provided by 200 professionals who volunteer their time throughout the year. Currently there is enough volunteer medical support to operate the clinic two evenings per week and starting 2002 operating an extra full day per week. Financially, FCSWis community-supported by donations from individuals, businesses, service organizations and small grants from local foundations. There is no federal or state funding, or direct support from agencies such as United Way.\nWhen receiving donations and grants, some organizations are requesting profiles of patients demographics and/or statistics on types of illnesses and evidence of community support before making donations. The goal of this project was to produce an accurate year-by-year report profiling the patient demographics and illnesses treated at the clinic from 1998-2000. This was accomplished by a retrospective chart review, comparing the paper chart with a newly developed Access@ database program in which all the patient information was transferred into.\nA systematic chart review for accuracy was the majority of the project's time. It resulted in 4,696 charts reviewed, with correction and addition of data that was missing completely. There was a year-by-year patient demographic reports generated for the years 1998-2000.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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