Bibliographic record
Abstract
Production History Thomas King’s The Dead Dog Café Comedy Hour is an enormously popular feature on CBC Radio One that has brought, with satiric wit, the concerns of Indians to a broad-based audience across Canada. The series is part of a long-standing Canadian tradition in Canada of CBC-produced radio drama which has provided playwrights with larger audiences for their work than if it were staged in the theatre. As satire, the series has a playful irreverence that has come to be the hallmark of much Canadian humour. Satire, however playful, has a serious side, drawing the audiences to social issues. In The Dead Dog Café Comedy Hour, the recurring readings from The Royal Commission Report on Aboriginal Peoples, a massive document detailing the conditions under which Aaboriginal peoples live, is a reminder that the concerns raised in The Report seem to have fallen from public consciousness and from the political agenda, save for this series. In the context of the series, which presents “Conversational Cree” and “Tom King’s Aboriginal Decorating Tips,” the incongruity of reading the dry prose of the Commission’s Report is funny; however, the laughter it generates has a serious bite.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.019 | 0.003 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.025 | 0.003 |
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".