PhD candidates Okechukwu (Jake) Effoduh and Inbar Peled (along with three more York grad students) named Vanier Scholars for 2019
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
Five PhD students from York University have been named Vanier Scholars and will receive support from the Government of Canada to pursue their cutting-edge research.\nValued at $50,000 per year for three years during doctoral studies, the 2019 Vanier Graduate Scholarship is awarded to graduate students who demonstrate leadership skills and a high standard of scholarly achievement in the social sciences and/or humanities, natural sciences and/or engineering, and health. Candidates are weighted on three criteria: academic excellence, research potential and leadership.\nFrom India to Israel to West Africa, this year’s Vanier Scholars are pursuing research with enormous reach.\n“This year’s Vanier Scholars show once again that York students are at the forefront of their fields, producing work with global impact,” said Thomas Loebel, dean of the Faculty of Graduate Studies. “Year after year, they reaffirm that our graduate programs are where transformative knowledge is being made.”
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 | 0.001 | 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 | 0.000 |
| 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