Bibliographic record
Abstract
<italic>Music Downtown Eastside</italic> explores how human rights are at play in the popular music practices of homeless and street-involved people who feel that music is one of the rare things that cannot be taken away of them. It draws on two decades of ethnographic research in one of Canada’s poorest urban neighborhoods, Vancouver’s Downtown Eastside. Klisala Harrison takes the reader into popular music jams and therapy sessions offered to the poorest of the poor in churches, community centers and health organizations. There she analyzes the capabilities music-making develops, and how human rights are respected, promoted, threatened, or violated in those musical moments. When doing so, she also offers new and detailed insights on the relationships between music and poverty, a type of social deprivation that diminishes people’s human capabilities and rights. The book contributes to the human rights literature by examining critically how human rights can be strengthened in cultural practices. Harrison’s study demonstrates that capabilities and human rights are interrelated. Developing capabilities can be a way to strengthen human rights.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.000 |
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 teacher head, 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".