Bibliographic record
Abstract
The tone and unyielding criticism long ago landed him [Chomsky] in the Siberia of American discourse. It’s an undeserved fate. What Chomsky has to say is legitimate. If there is anything new about our age, it is that Chomsky’s questions will eventually have to be answered. Agree with him or not, we lose out by not listening. Business Week Introduction When the South African freedom fighter Steve Biko said that “the most powerful tool in the hands of the oppressor is the mind of the oppressed,” he was expressing an idea very similar to that of David Hume who observed: “'Tis therefore, on opinion only that government is founded; and this maxim extends to the most despotic and the most military governments, as well as to the most free and the most popular” (quoted in Chomsky 1991: 352). From the fall of the Shah of Iran to the changes in Eastern Europe or South Africa, examples abound that illustrate this thesis: a powerful group may have at its disposal all the military might that it wants, if the soldiers and officers, or even the vast majority of the population, are not willing to follow orders, it is effectively powerless. Hence, the importance of the battle of ideas and the necessity for any ruling class who wants to maintain its privileges in the long run of “regimenting the public mind every bit as much as an army regiments the bodies of its soldiers.”
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 | 0.009 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.030 |
| Scholarly communication | 0.017 | 0.014 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.018 | 0.007 |
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".