Bibliographic record
Abstract
Queen of the Bands: Carnival and “Monarchy” in the (416) is a solo multimedia gallery installation which explores the complexity of Queenliness through the audio and photographic documentation of four women who perform as the head female masqueraders within the complex political framework of Toronto Caribbean Carnival's 2017 King and Queen competition. The Canadian national narrative reserves Queenliness for historically dominant European figures such as the Queen of England, so what does it mean to be a woman of colour performing as a queen in a Canadian carnival celebration? The complexity of this history and the prominence of African masking traditions in carnival Mas’ making, among other cultural influences in the Caribbean, contribute to the notion of Queenliness within the framework of carnival. The purpose of my photographic investigation is both to capture a tangible element of carnival’s relationship to Emancipation Day history in Toronto and, among other things, to examine the women’s representation and power in Afro-Caribbean communal celebrations. My additional objectives were the following: First, to evaluate how the historical framework of Emancipation Day in Ontario has shaped the current production of these celebrations in Toronto. Second, to contextualize the head female masquerader’s position within the historical framework of emancipation and carnival. Third, to determine the role carnival celebrations play in defining a racialized woman’s identity in Canadian society. Fourth, to investigate how employing documentary photography practices can shape the understanding of Emancipation Day and contextualize African Canadian history. Lastly, to investigate the effect British monarchal representation in Canada has on Queenliness when performed by women of colour.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.013 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".