Is Academic Freedom Under Threat?
Bibliographic record
Abstract
In this report, we contribute to this global debate by reporting findings from a new and unique survey of academics who are currently working in some of the world’s leading universities in four democracies: Australia, Canada, the United Kingdom and the United States. Our aim is not to politicise the debate or fuel further polarisation but merely to report our findings and contribute to the ongoing discussion. Our survey, which includes academics from Harvard to Princeton, Oxford to Cambridge, Toronto to McGill and Australian National University to Melbourne, offers unique insight into the views and values of the world’s leading intellectuals. It allows us to probe their ideological beliefs, their support for academic freedom and free expression, the extent to which they tolerate nonconformists and are comfortable with the growing politicisation of higher education.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.020 | 0.036 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.013 | 0.059 |
| Scholarly communication | 0.032 | 0.028 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.007 | 0.012 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".