Promiscuous Archiving: Notes on the Joys of Curating Black Queer Legacies
Bibliographic record
Abstract
On 5 June 2018, the ArQuives in Toronto (formerly the Canadian Lesbian and Gay Archives) hosted a public conversation between Ajamu and Courtnay McFarlane titled “Promiscuous Archiving: The Joys of Curating Queer Black Legacies.” The exchange published here is a follow-up to that public dialogue. It not only returns to some of the terms, gestures, narratives, and critical provocations of that previous discussion but also expands on several of those issues and questions. In what follows, Ajamu and Courtnay talk with Ronald about their artistic and curatorial practice and about the relationships between joy, desire, collectivity, and archiving. Their dialogue offers both a theory of and about archives as well as reflections on archival practice in relation to Black queer histories.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".