The Graying of the Cool Pose: Examining Active Care Strategies Among Older African-American Men With Type 2 Diabetes Mellitus
Bibliographic record
Abstract
OBJECTIVES: The influence of masculinity norms on disparate health outcomes has been established in the literature. What is less understood are the specific ways in which African-American men "do health" by engaging in strategies promoting positive health outcomes. This article reframes what has been previously examined through a health deficit perspective by reporting the experiences and positive health maintenance strategies of older, African-American men with type 2 diabetes mellitus (diabetes). METHODS: We employed an intersectional framework to thematically analyze qualitative interviews with African-American male participants (N = 15) in our National Institute on Aging-funded study of diabetes among older adults in Baltimore. Interviews consisted of a modified version of the McGill Illness Narrative Interview, which included discussions of diabetes experiences and self-management strategies. RESULTS: The majority of African-American men in our study link their successful diabetes management to purposeful self-care activities, despite structural and personal limitations. These activities include proactively seeking diabetes education, healthy eating, medication management, and engaging in supportive relationships. DISCUSSION: Active pursuit of a healthy lifestyle often requires redefining Black manhood, defying negative gender stereotypes of what it means to be a Black male. Results are described in the context of the "Cool Pose," a framework for understanding how African-American men and boys cope with systemic racial oppression and the unachievable dominant standards of masculinity in the United States. The results suggest that this framework may be less applicable for older African-American men who promote well-being in the wake of chronic disease as they age.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".