Bibliographic record
Abstract
Canadian artist-scholar Deanna Bowen has created a growing collection of archivally interrelated artworks and exhibitions rooted in chapters of her family, community, and Black Canadian histories. Bowen began her artistic training and practice in experimental film and video, which fundamentally informs her work to date, and while her exhibitions employ a variety of still and moving documents and archives, her work with audiovisual materials is of particular interest to this study. Bowen’s unique methodology of moving-image experimentation, performance, and collaborative pedagogy focuses attention on how and why these histories and moving images were created, and whose ongoing interests they serve. This reveals the key motif of this proposed chapter—forms of circulation and interruption. Frameworks from feminist production study will be applied to reveal layers of Bowen’s complex process, alongside theories of Black performance study which in turn offer access to possibilities for change that are generated by Bowen’s activation of moving-image history.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.057 |
| Scholarly communication | 0.015 | 0.008 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".