Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Making the Scene is a history of 1960s Yorkville, Toronto's countercultural mecca. It narrates the hip Village's development from its early coffee house days, when folksingers such as Neil Young and Joni Mitchell flocked to the scene, to its tumultuous, drug-fuelled final months. A flashpoint for hip youth, politicians, parents, and journalists alike, Yorkville was also a battleground over identity, territory, and power. Stuart Henderson explores how this neighbourhood came to be regarded as an alternative space both as a geographic area and as a symbol of hip Toronto in the cultural imagination.Through recently unearthed documents and underground press coverage, Henderson pays special attention to voices that typically aren't heard in the story of Yorkville - including those of women, working class youth, business owners, and municipal authorities. Through a local history, Making the Scene offers new, exciting ways to think about the phenomenon of counterculture and urban manifestations of a hip identity as they have emerged in cities across North America and beyond
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.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it