REAL LIVES ACROSS THE GLOBE: INSIGHTS FROM THE GLOBAL PRIDE STUDY
Bibliographic record
Abstract
Abstract Research on the intersection of sexuality, gender, and aging is becoming increasingly global; however, scholars in the field rarely have the opportunity to collaborate across national boundaries. This hampers knowledge sharing and limits the global knowledge base on sexuality, gender, and aging. In this presentation, we will explore international and interdisciplinary perspectives on sexuality and gender across the lifespan. Individual and group interviews were conducted with collaborators of the Global Pride study, discussing the challenges and opportunities of global research at the intersection of sexuality, gender, and age. These interviews were video recorded and will be shared during this presentation. The video features global collaborators discussing the resources and cultural influences in various conceptual, qualitative, quantitative, and multi-method approaches for conducting sexuality, gender, and aging research. We will also address the unique cultural influences, dimensions, and dynamic nature of conducting cutting edge research with sexual and gender diverse (SGD) adults across the lifespan. Key insights include: 1) identifying similarities and differences across diverse cultural contexts, including variations in old age itself; 2) understanding the distinct realities and challenges faced by older adults in diverse SGD communities and the strengths and fortitude of these communities worldwide; 3) developing feasible strategies to advance SGD research, practice, and education within differing cultural, social, and political environments. By examining the risk and resilience of SGD older adults globally, we aim to illuminate how innovative research, practice and education can strengthen our understanding of aging in our increasingly diverse society.
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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 | 0.014 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.021 | 0.019 |
| Scholarly communication | 0.013 | 0.014 |
| Open science | 0.002 | 0.020 |
| Research integrity | 0.003 | 0.008 |
| 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".