Bibliographic record
Abstract
Today’s world is a world of bureaucratic governance and not of politics. In this context, the purpose of a government is not to engage in politics, but rather to engage in control and order, and to create a world in which people follow and appear to be free. This paper explores the notion that a dominantly bureaucratic state is not one in which the people are free. Through a hermeneutic analysis of certain texts that discuss how such a form of governance comes from and why it does not allow for freedom. Richard Rorty’s Philosophy and the Mirror of Nature and Alasdair MacIntyre’s After Virtue. Rorty’s text focuses on the benefits of behaviourism as a means of knowing the way in which people are and MacIntyre’s work focuses on the shortcomings of behaviourism and the social predictive sciences, and how they effect bureaucracy and government. With a hermeneutic analysis on these texts I have developed a proper and substantive defence of behaviourism and its relation to bureaucratic governance. Once the argument has been properly established, the fallacies within it can be examined and the fundamental argument that people can be controlled as animals, removing their freedom and eliminating politics, can be properly critiqued and dismissed. Discipline: Political Science Honours Faculty Mentor: Dr. Gaelan Murphy
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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.067 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".