<i>Testifyin’: Contemporary African Canadian Drama,</i> Volumes 1 and 2
Bibliographic record
Abstract
Djanet Sears’s Testifyin’: Contemporary African Canadian Drama, volumes 1 and 2, proudly proclaims the viability and variability of African Canadian drama. While Sears, in her introduction to volume 1, praises the resiliency of African Canadian theatrical production, she also remarks on the poor funding available at present for contemporary Black theatre companies and the limited recognition that African Canadian drama has garnered within the annals of Canadian theatre history. To rectify this absence, Sears has collected ten plays in volume 1 and nine additional plays in volume 2 – plays by a total, in the two volumes together, of some twenty different playwrights. (Some of the works are co-written, and three playwrights, including Sears, appear in both volumes.) Together, these works boldly announce the diversity of contemporary African Canadian drama in form and content. These nineteen plays speak imaginatively to the multiple ways that Blackness and African Canadian identity have been constructed and repeatedly reconstructed in Canada, past and present.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.015 | 0.005 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".