SPEAK POWER TO TRUTH: Save the World on Your Own Time. By STANLEY FISH
Bibliographic record
Abstract
Stanley Fish likes the imperative mood. Three of the seven chapter titles in Save The World on Your Own Time are commands: ‘Do Your Job’; ‘Don't Try to Do Someone Else's Job’; ‘Don't Let Anyone Else Do Your Job’. More ‘Do's and ‘Don't's follow in the main text of what Fish calls ‘my one-note song’, ‘this severe account of what academics should and shouldn't do’. Things that academics ‘shouldn't do’ include: ‘announcing one's political allegiances in class, poking fun at the administration in power, railing against capitalism, giving the writing course over to discussions of various forms of discrimination’, ‘speaking truth to power, standing up for free speech, protesting against various forms of injustice’. A forbidding list. Fish's ‘Do's are generally more engaging than his ‘Don't's. When he concentrates on the things we should do (and leads by example) he is not just persuasive but exhilarating. I was surprised – and impressed – to hear that he teaches a ‘freshman writing class’. Such courses are a staple in North American universities, but many tenured academics see them as a chore and avoid them. A scholar of Fish's stature could easily pass the burden on to other hands and devote his teaching exclusively to (say) Milton. But in true Miltonic fashion he lays the lowliest duties on himself. He does not brag about it. The fact comes out casually, in an aside: ‘On the first day of my freshman writing class I give the students this assignment… ’. For Fish, teaching ‘freshman writing’ is just doing what comes naturally. He is most persuasive in the delightful section of ‘Do Your Job’ entitled ‘A Radical Proposition: Teach Writing in Writing Classes’. Fish's agenda is ‘radical’ in the sense of going back to the ‘roots’. Some instructors of writing courses (motivated by zealotry or boredom) yield to the temptation to smuggle in ideological content. Fish sees this as an abdication: All composition courses should teach grammar and rhetoric and nothing else. No composition course should have a theme, especially not one the instructor is interested in. Ideas should be introduced not for their own sake, but for the sake of the syntactical and theoretical points they help illustrate, and once they serve this purpose, they should be sent away. Content should be avoided like the plague it is, except for the deep and inexhaustible content that will reveal itself once the dynamics of language are regarded not as secondary, mechanical aids to thought, but as thought itself. If content takes over, what won't get done is the teaching of writing, something the world really needs and something an academic with the appropriate training can actually do.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.030 | 0.017 |
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".