Navigating identity within the context of culture & community: an examination of creative engagement among black 2SLGBTQ Caribbean-Canadian artists
Bibliographic record
Abstract
This research examines some of the ways Black 2SLGBTQ Caribbean-Canadian artists engage with creative expression to navigate their sexual and gender identities. This study also highlighted the intersection of race, gender, sexual identity, and immigration. The secondary data sources collected were a photography series produced by Jamaican-Canadian photographer Brianna Roye; and a 2015 interview featuring Michèle Pearson Clarke, a Trinidadian-Canadian artist. These secondary data sources were analyzed using multi-textual analysis and qualitative content analysis tools. The findings highlight the potential for art and creative expression to address issues of anti-Black racism and heterosexism, in addition to fostering healing and community building. This study aims to present insight that will contribute to ongoing efforts within the social work profession to promote Black 2SLGBTQ equity and inclusion.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.034 | 0.020 |
| Scholarly communication | 0.014 | 0.002 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".