Bibliographic record
Abstract
The university is a unique institution in society. It should, everywhere and always, be a place where all views, even unpopular ones (including, say, support for cannibalism), can be heard. Popularity does not determine the validity of a point of view. However, in Canada, several related confrontations involving the Israeli-Palestinian conflict have recently challenged the concept of democracy and legitimate debate at universities. The spirit of scholarship on campuses has been adversely affected as limits have been placed on debate, free speech and academic freedom, people have been intimidated and harassed, and power disparities have been abused. In response, and to counter defamation and intolerance of Jews and supporters of the state of Israel on campuses, a group of professors and staff at postsecondary institutions in British Columbia has organized the British Columbia Campus Action Coalition. The initiative is premised on a commitment to promoting mutual respect and understanding as well as coexistence and peace, while discouraging polarization, belligerence and hatred in matters related to the Middle East. In the pages that follow we analyze the current situation and its implications, and propose a prescription for improvement.
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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.069 | 0.013 |
| Scholarly communication | 0.018 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.008 | 0.008 |
| Insufficient payload (model declined to judge) | 0.026 | 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".