Bibliographic record
Abstract
“Who has the right to know?” asks Jean-Francois Lyotard. “Who has the right to eat?” asks Peter Madaka Wanyama. This book asks: “what does it mean to be a responsible academic in a ‘northern’ university given the incarnate connections between the university’s operations and death and suffering elsewhere?” Through studies of the “neoliberal university” in Ontario, the “imperial university” in relation to East Timor, the “chauvinist university” in relation to El Salvador, and the “gendered university” in relation to the Montreal Massacre, the author challenges himself and the reader to practice intellectual citizenship everywhere from the classroom to the university commons to the street. Peter Eglin argues that the moral imperative to do so derives from the concept of incarnation. Herethe idea of incarnation is removed from its Christian context and replaced with a political-economic interpretation of the embodiment of exploited labor. This embodiment is presented through the material goods that link the many’s compromised right to eat with the privileged few’s right to know.
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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".