The Stories of Us: Queer Tamils and Their Experiences Reclaiming Culture and Heritage in Canada
Bibliographic record
Abstract
“The Stories Of Us” considers the ways that culture, heritage, and rituals come together. This ethnographic study is guided by methodologies of narrative photovoice that speak to the lived experiences of how five 2nd Generation Queer Tamil Canadians living in Toronto/Scarborough reclaim their Tamil culture and heritage as Queer people living in the West. The intersectional marginalization Queer Tamil people face often ostracizes them from both their Tamil community as well as their Queer community. The participants of this study reflected on their identities growing up as well as how they’ve engaged with community at different stages of their Queer journey, speaking to their experiences reclaiming their cultural identity as Queer people. Based on the lived experiences of the participants, this data-based study looks at the creative ways that Queer Tamils take up space and reclaim their cultural heritage as a politically and historically silenced community.
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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 | 0.003 |
| Science and technology studies | 0.050 | 0.018 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".