Introduction to the suite: Symposium on Philip Kitcher’s <i>The Main Enterprise of the World: Rethinking Education</i>
Bibliographic record
Abstract
Abstract This paper introduces a suite of articles devoted to Philip Kitcher’s The Main Enterprise of the World: Rethinking Education (Oxford University Press, 2021). The suite opens with a paper by Kitcher, which presents the central themes of his important book. This is followed by an assessment of the work as whole by John White, and four commentaries discussing in detail various aspects of Kitcher’s position by Ben Kotzee (on science education), Alexis Gibbs (on arts education), Sheron Fraser-Burgess (on deliberative democracy and inclusivity), and Nigel Tubbs (on Kitcher’s ‘Deweyan Society’). In the final contribution, Kitcher replies to his critics. The introduction sketches the character of Kitcher’s project and comments on his pragmatist method.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".