Research in the Sociology of Health Care
Bibliographic record
Abstract
Citation (2012), "Research in the Sociology of Health Care", Jacobs Kronenfeld, J. (Ed.) Issues in Health and Health Care Related to Race/Ethnicity, Immigration, SES and Gender (Research in the Sociology of Health Care, Vol. 30), Emerald Group Publishing Limited, Bingley, p. ii. https://doi.org/10.1108/S0275-4959(2012)0000030016 Publisher: Emerald Group Publishing Limited Copyright © 2012, Emerald Group Publishing Limited Book Chapters Issues in Health and Health Care Related to Race/Ethnicity, Immigration, SES and Gender Research in the Sociology of Health Care Research in the Sociology of Health Care Copyright Page List of Contributors Health Care System Issues and Race/Ethnicity, Immigration, SES and Gender as Sociological Issues Linking to Health and Health Care Obesity in Mexican-American Adults: Interplay of Immigrant Generation, Gender, and Socioeconomic Status Delayed Diagnosis of Tuberculosis in the U.S.-Mexico Border Region: A Health Narratives Approach Views of Japanese Immigrant Women about Care as they Age Two Sides of the Potomac: A Qualitative Exploration of Immigrant Families’ Health Care Experiences in Virginia and Washington, DC Ethnicity and the use of “Accepted” and “Rejected” Complementary/Alternative Medical Therapies in Canada: Evidence from the Canadian Community Health Survey Racial Residential Segregation and Access to Health-Care Coverage: A Multilevel Analysis Gendering Affective Disorders in Direct-to-Consumer Advertisements “More than Boobs and Ovaries”: BRCA Positive Young Women and the Negotiation of Medicalization in an Online Message Board Close-Calls that Older Homebound Women Handled without Help While Alone at Home Countervailing Influences of Black and Women Legislators on State Age Friendliness Intersectional Identities and Worker Experiences in Home Health Care: The National Home Health Aide Survey
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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 | 0.010 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.006 | 0.052 |
| Scholarly communication | 0.011 | 0.012 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".