“In the Bear Pit:” Considering<i>Da Vinci’s Inquest</i>in the Context of Representations and Discourses of Poverty in Canada
Bibliographic record
Abstract
The season finale of Da Vinci's Inquest, In the Bear Pit, features Detectives Shannon and Leary investigating the death of a homeless man found in the Stanley Park Zoo's deserted bear cage; their concluding dialogue is reproduced above. A second storyline continues a thread developed throughout the series about the Downtown Eastside's missing women. The young woman/girl picked up by Detective Kosmo in one of the area's notorious alleys refuses to go to the local Downtown Eastside clinic to be tested for HIV and hepatitis: They treat you like you are in a zoo, she says.
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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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.054 | 0.039 |
| Scholarly communication | 0.024 | 0.011 |
| Open science | 0.005 | 0.006 |
| Research integrity | 0.019 | 0.026 |
| 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".