University of Toronto: Marketing from Scratch.
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
established in 1827, the University of Toronto is regarded as one of Canada’s leading academic and research institutions. It has the highest number of students (both undergraduate and graduate), the most faculty members, and the widest range of courses among Canadian universities. It has often been referred to as the “Harvard of the north” because of both its high academic and research reputation and the fact that it has Canada’s largest university endowment1. The University of Toronto School of Continuing Studies (SCS) is the nondegree, general continuing education arm of the University of Toronto. It offers five distinct areas of study: Business & Professional Studies, Liberal Studies, Creative Writing, Languages & Translation, and the English Language Program (ESL). The school is committed to community engagement and accessibility and is open to all adults, regardless of prior educational status. SCS provides both individual courses and professional certification. enrollment for the 2008 academic year was approximately 14,000. this case study traces the school’s marketing efforts that resulted in recognition by the University Continuing Education Association in the form of a gold award for the school’s strategic marketing campaign in 2008.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 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