Bibliographic record
Abstract
What research and teaching are you currently conducting at UTSC?My research is in Geodynamics.I am interested in the evolution of planetary interiors and study this using high performance computing and computer modelling of the mantle.In the case of the Earth, mantle convection drives plate tectonics, continental drift, and turns heat flow from the core.It affects the magnetic field, the mountains, and even biological evolution!Without mantle convection, we would not have continents, or even human beings!I have a lab in the GTA, myself and my grad students work remotely. How has the COVID-19 lockdown impacted your research and teaching at UTSC?My research has not been impacted because it is conducted online.Every virtual experiment done is submitted to the computer at the main lab which gives back results.As for teaching, I have not done any teaching last winter (winter 2020) or summer (summer 2020).I will be teaching in fall 2020 and I will be giving online lectures, which will also be uploaded onto the portal for students who want to rewatch/have missed the lectures.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".