Visualizing the margins: the experiences of queer people of colour
Bibliographic record
Abstract
This study incorporates a critical AOP theoretical framework in order to answer the central research question which seeks to reveal the ways in which queer people of colour conceptualize their intersecting identities and resist interlocking systems of domination. Photovoice, a community-based and visual PAR methodology, enables participants to visualize their everyday realities through photography, describe their lives through these photos and individual narratives, and through critical dialogue create themes which speak to their collective experiences. Participants spoke of how historical displacement and intersecting experiences of marginalization resulted in emotional and psychological responses which complicated their relationships to mental health. Key findings reveal the complexities of integrating a historicized trans-national identity and the contemporary effects of political and structural intersectionality on the lives of queer people of colour in Canada. By collectively conceptualizing strategies of survival and resistance, this collaborative and community-building process generated new knowledge, which will serve to inform social work policies and practices.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".