Health Care Services, Racial and Ethnic Minorities and Underserved Populations: Patient and Provider Perspectives
Bibliographic record
Abstract
Health care disparities and underserved populations: issues of social factors / Jennie Jacobs Kronenfeld -- African American teen mothers and reproductive health care services : gender and the context of intention / Sarah Jane Brubaker -- Breast cancer treatment decision making: does the sisterhood of breast cancer transcend culture? / Pamela H. Wescott ... [et al.] -- Social factors, need, and mental health services utilization: findings of the national comorbidity survey / Anthony Kouzis -- Social determinants of health care access among sex industry workers in Canada / Rachel Phillips, Cecilia Benoit -- Presenting and anticipatory needs for accessibility to providers and services : the experiences of six frail older widows living in medically underserved areas / Eileen J. Porter -- Effects of managed health insurance on physical and emotional well-being / D. Clayton Smith, James W. Grimm, Zachary W. Brewster -- 'Nothing happens in medical school that prepares you for working with anyone who's different' : informal learning and socio-clinical knowledge amongst family physicians / Eric Mykhalovskiy, Karen Farrell -- Rapid clinical decisions in context : a theoretical model to understand physicians' decision-making with an application to racial/ethnic treatment disparities / Joshua H. Tamayo-Sarver ... [et al.] -- The impacts of public policy implementation on tribal health care management : the case of OEO/CAP / Michèle Companion -- Health systems and health promotion programs - the necessity of cultural competence: an ethical analysis / Valda Ford, Beth Furlong -- The biomedical legacy in minority health policy-making, 1975-2002 / Drew Halfmann, Jesse Rude, Kim Ebert -- Literac : influence on access and use of the health care system / Karen Seccombe, Richard S. Lockwood, Stephen Reader
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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".