Bibliographic record
Abstract
This timeline offers an account of the key dates in the fossil fuel divestment movement at the University of Toronto, from 2012 until 2021. The campaign began in June 2012 when a group of University of Toronto students and community members founded the grassroots group Toronto350.org, and later UofT350, the campus branch of the group. On December 15, 2015, the University President’s ad hoc committee on fossil fuel divestment recommended “targeted divestment” - a major win for the campaign. On March 30, 2016, the President rejected his ad hoc committee’s recommendation for divestment. Following the rejection, UofT350 fizzled out as a group and new campus groups emerged and picked up the divestment campaign: in particular, the student group LeapUofT and the student-faculty-staff coalition Divestment & Beyond. On October 27, 2021, the University President announced that the University of Toronto was committing to divest from investments in fossil fuel companies in its endowment fund beginning immediately. Efforts to divest the federated colleges and the University Pension Plan continue.
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 | 0.003 | 0.003 |
| 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) | 0.014 | 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".