A Different Shade of Grey: Intimacies of Older Filipino Gay Men in Canada
Bibliographic record
Abstract
This dissertation is a qualitative study, which examined the experiences of intimacy of the older Filipino gay men in Canada. These group of men identify as bakla, which is the Filipino term for queer or non-normative gender and sexual identity, practices, and performances. I specifically investigated how older bakla engage and express their intimacies with the three significant groups of people in their lives, namely, their sexual partner, their family or bloodrelated kin, and their friends. The purpose of such inquiry was to understand the relationship dynamics that older bakla have with these three groups. Such significant figures are the potential sources of social and emotional support of the older bakla. Intersectionality theory from a queer diasporic–feminist gerontological lens informed the study that takes into account the social location of the informants in terms of sexuality and gender, race, diaspora, age, and class. In this study, I used both participant observations and in-depth interviews as the main methods of data collection. These methods were informed by a culturally-grounded approach, called kuwento, a Filipino version of storytelling. This type of storytelling allowed the informants of the study to articulate their experiences in a manner that was comfortable, accessible, and convenient for them. Using grounded theory for data analysis, older bakla revealed a different experience of iii intimacy with their significant others. A story of difference exists, because they do not necessarily resonate to the dominant stories of aging. Their stories of intimacies offer critique of the norms and dominant discourses of identity. As well, older bakla’s intimacies illuminate their sense of agency in negotiating the norms of gender, sexuality, ageing, class, diaspora, and race that have marginalized and oppressed their beings and subjectivities. In the conclusion, I discuss how their intimacies with significant others, which are conditioned by uncertainty, impact their well-being and ageing bodies and how these informed critical social work education and practice. This study offers important contributions to the field of gerontological social work, sexuality and queer studies, migration and transnationalism, and anti-oppressive epistemologies.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.028 | 0.010 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| 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".