Resisting Oppression and Promoting Health Through Culturally Responsive Leisure Among Older Black Lesbians
Bibliographic record
Abstract
Abstract Numerous studies highlight the benefits of leisure participation for aging populations; however, the specific ways in which leisure contributes to the health and well-being of aging Black lesbians remain underexplored. Despite facing multiple forms of oppression at the intersections of age, race, gender, and sexuality, older Black lesbians actively engage in leisure as a means of self-preservation, community building, and resistance. This paper presents findings from a participatory action research project conducted with older Black lesbians to examine how leisure functions both as a site of oppression and as a tool for resistance. Guided by Black feminist theory, five Black lesbians between the ages of 65 and 75 participated in five focus groups, which were transcribed verbatim and analyzed using a reflexive thematic approach. Three themes were identified, highlighting the distinct leisure experiences of older Black lesbians and their need for culturally responsive leisure activities: (1) Reflecting realities: representation of diverse identities and experiences, (2) Belonging together: creating safe spaces for self-expression, and (3) Meeting needs: fostering culturally responsive leisure. These findings suggest that leisure is not only a source of enjoyment but also a critical mechanism for identity affirmation, social connection, and resilience. By exploring the intersections of identity, leisure, and health within the framework of structural oppression, this paper emphasizes the importance of adopting an intersectional perspective to reimagine leisure in ways that better serve marginalized and underserved populations. Implications for policy and practice interventions aimed at promoting healthy aging among older Black lesbians are discussed.
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".