student-run free clinic project: lessons in compassion, community, and courage
Bibliographic record
Abstract
For 25 years, UC San Diego Student-Run Free Clinic Project has provided free high-quality care to underserved communities, while inspiring the next generation of health professionals. Free thorough ongoing care is provided in community settings to people who have nowhere to turn and do not qualify for access to care. The clinic philosophy has four tenets: empowerment - creating environments where patients take charge of their lives and achieve wellbeing, a humanistic approach - embodying Rogerian principles of empathy, respect, and self-awareness, a transdisciplinary model, one where the patient and community are the teacher. This philosophy permeates the life of the clinic. These values are taught, modeled, expected, and observed in curricular components throughout the four years of medical school. 250 medical, 75 pharmacy, and 100 predental students are involved each year as well as students in law, social work, and acupuncture. Students learn to be healers, artists, teachers as they become health professionals. At each clinic session student leaders gather the team in a large circle, and lead a sharing of recent stories and experiences reflecting the core tenets. All work is directly supervised by licensed clinicians, many of whom were once free clinic students. During the era of COVID, care became virtual. Promotors helped patients learn to use Zoom to receive care. Visit attendance increased to 100%. Our Spanish language empowerment group met online. The clinic already provided healthy food bags to patients at medical visits. Students and volunteers organized to deliver food and medication to people’s homes.
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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.004 | 0.008 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.020 | 0.006 |
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".