Bibliographic record
Abstract
Despite the imperative for change in a world of persistent inequality, racism, oppression and violence, difficulties arise once we try to bring about a transformation. As scholars, students and activists, we may want to change the world, but we are not separate, looking in, but rather part of the world ourselves. The book demonstrates that we are not in control: with all our academic rigour, we cannot know with certainty why the world is the way it is, or what impact our actions will have. It asks what we are to do, if this is the case, and engages with our desire to seek change. Chapters scrutinise the role of intellectuals, experts and activists in famine aid, the Iraq war, humanitarianism and intervention, traumatic memory, enforced disappearance, and the Grenfell Tower fire, and examine the fantasy of security, contemporary notions of time, space and materiality, and ideas of the human and sentience. Plays and films by Michael Frayn, Chris Marker and Patricio Guzmán are considered, and autobiographical narrative accounts probe the author's life and background. The book argues that although we might need to traverse the fantasy of certainty and security, we do not need to give up on hope.
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 | 0.000 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.006 |
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; both teacher heads agree on what is shown here.
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".