The role of college and university faculty in the fossil fuel divestment movement
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
Colleges and universities have played a critical role in the growing social movement to divest institutional endowments from fossil fuels. While campus activism on fossil fuel divestment has been driven largely by students and alumni, faculty are also advocating to their administrators for institutional divestment from fossil fuels. This article characterizes the role of faculty by reviewing signatories to publicly available letters that endorse fossil fuel divestment. Analysis of 30 letters to administrators signed by faculty at campuses throughout the United States and Canada reveals support for divestment from 4550 faculty across all major fields of inquiry and scholarship, and all types of faculty positions. Of these signers, more than 225 have specific expertise in climate change or energy. An in-depth analysis of 18 of these letters shows that a significantly greater proportion of tenured faculty sign open letters of support for divestment than do not-yet-tenured tenure-track faculty (15.4% versus 10.7%), perhaps reflecting concerns among not-yet-tenured faculty that such support might jeopardize their career advancement. This analysis suggests that faculty support for the divestment movement is more widespread than commonly recognized; this movement is more mainstream, and broader-based, than is often recognized. Revealing the scope and scale of faculty support for fossil fuel divestment may encourage additional faculty to engage, support and endorse this growing social movement that highlights the social impact of investment decisions, and calls upon colleges and universities to align their investment practices with their academic missions and values.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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