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List of Contributors

2016· other· en· W4229922343 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typeother
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsAtlantaLibrary scienceSociologyAsian American studiesPublic healthPublishingGerontologyMedia studiesMedicineMetropolitan areaPolitical scienceGender studiesLawNursing

Abstract

fetched live from OpenAlex

Citation (2016), "List of Contributors", Special Social Groups, Social Factors and Disparities in Health and Health Care (Research in the Sociology of Health Care, Vol. 34), Emerald Group Publishing Limited, Bingley, pp. ix-xi. https://doi.org/10.1108/S0275-495920160000034021 Publisher: Emerald Group Publishing Limited Copyright © 2016 Emerald Group Publishing Limited Luma AlMasarweh Department of Sociology, Case Western University, Cleveland, OH, USA Piet Bracke Department of Sociology, Ghent University, Ghent, Belgium Lawrence Bryant Division of Respiratory Therapy, School of Health Professions, Georgia State University, Atlanta, GA, USA Jennifer J. Bute Department of Communication Studies, Indiana University–Purdue University Indianapolis, IN, USA Colleen O’Brien Cherry Center for Global Health, College of Public Health, University of Georgia, Athens, GA, USA Neale R. Chumbler Department of Public Health, College of Health and Human Services, Western Kentucky University, Bowling Green, KY, USA Amanda K. Damarin Department of Cultural & Behavioral Sciences, Perimeter College, Georgia State University, Atlanta, GA, USA Rudy Fenwick Department of Sociology, The University of Akron, Akron, OH, USA Smitha Ganashen Harvard Medical School, Harvard University, Boston, MA, USA Bridget Gorman Department of Sociology, Rice University, Houston, TX, USA Alixandria Henley Columbia University School of Social Work, Columbia University, New York, NY, USA Terrence D. Hill School of Sociology, The University of Arizona, Tucson, AZ, USA Jennie Jacobs Kronenfeld Sociology Program, Sanford School of Social and Family Dynamics, Arizona State University, Scottsdale, AZ, USA Sara LeGrand Center for Health Policy and Inequalities Research, Duke University, Durham, NC, USA Yi-Ling Lin College of Health and Public Affairs, University of Central Florida, Orlando, FL, USA Zack Marshall Faculty of Medicine, Division of Community Health and Humanities, Memorial University of Newfoundland, NL, Canada Angela Mashford-Pringle Centre for Research on Inner City Health (CRICH), Toronto, ON, Canada John Mirowsky Department of Sociology, The University of Texas at Austin, Austin, TX, USA Ethel G. Nicdao Department of Sociology, University of the Pacific, Stockton, CA, USA Judith Ortiz College of Health and Public Affairs, University of Central Florida, Orlando, FL, USA Jeffery C. Peterson Washington State University, Murrow College of Communication, Pullman, WA, USA Catherine E. Ross Department of Sociology, The University of Texas at Austin, Austin, TX, USA Teresa L. Scheid Department of Sociology, University of North Carolina – Charlotte, NC, USA Alexa Solazzo Department of Sociology, Rice University, Houston, TX, USA Mark Tausig School of Health Sciences, Human Services and Nursing, Lehman College, City University of New York, New York, NY, USA Rania F. Valeeva Department of Sociology, Ghent University, Ghent, Belgium Becky Wade Department of Sociology, Rice University, Houston, TX, USA Thomas T. H. Wan College of Health and Public Affairs, Doctoral Program in Public Affairs, University of Central Florida, Orlando, FL, USA Carol Ward Department of Sociology, Brigham Young University, Provo, UT, USA Rose Weitz School of Social Transformation, Arizona State University, Tempe, AZ, USA Kathryn Whetten Public Policy and Community and Family Medicine, Center for Health Policy and Inequalities Research, Duke University, Durham, NC, USA Dawn Garrett Wright WKU School of Nursing, Health Science Center, Western Kentucky University, Bowling Green, KY, USA Book Chapters Special Social Groups, Social Factors and Disparities in Health and Health Care Research in the Sociology of Health Care Special Social Groups, Social Factors and Disparities in Health and Health Care Copyright Page List of Contributors Part I: Introduction to Volume Special Social Groups and Social Factors Part II: Special Groups, Women in the Military, and Women Veterans Gun under My Pillow: Health Consequences of the Fear of Assault Among Military Women Barriers to Health Care Access and Utilization: A Study of Native American Women Veterans in Two Montana Reservations Part III: Special Groups Linked to Race and Ethnicity “Your Blood is Sweet”: The Illness Experience of Southeast Asian Refugees with Type 2 Diabetes Aboriginal Health and Aboriginal Education are Interconnected Women Go and Men Stay Home? Gender and the Utilization of Preventive Medical Care among Asian and Latino Adults Part IV: Other Special Groups: Rural Residents, People with HIV, LGBT People and Adolescent Mothers Contextual, Ecological, and Organizational Variations in Risk-Adjusted COPD and Asthma Hospitalization Rates of Rural Medicare Beneficiaries The Differential Impact of Social Relationships on Health Outcomes for HIV Positive Men and Women Pragmatism, Activism, and Cynicism: Logics of Engagement with Community Action to Improve Lesbian, Gay, Bisexual, and Transgender (LGBT) Health Rewriting Life Narratives: Positive Coping Mechanisms in Adolescent Mothers Part V: Other Social Factors: Education, Marriage, and Job Stress Does Variation in the Extent of Individual Education and Extensiveness of Social Security Policies Affect Health Information-Seeking? Reconceptualizing Health Lifestyles: The Case of Marriage The Social Stratification of Job Stress: How Social Structures Create Health Disparity

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.033
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.298
Threshold uncertainty score0.425

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.033
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0080.008
Science and technology studies0.0040.001
Scholarly communication0.0120.007
Open science0.0030.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.7020.707

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.

Opus teacher head0.017
GPT teacher head0.369
Teacher spread0.352 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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