Becoming Philosophical in Educational Philosophy: Neither Emma nor the Art Connoisseur
Bibliographic record
Abstract
In this essay, I will make a case for philosophy of education’s particular status, or its particular philosophical identity. To do this, I will first take a detour through modernity itself, or at least through one branch of modernity: the modern novel. I will use the work of Jacques Ranciere in order to show the predicament of the modern novel, and I will liken that predicament to the philosophical status of philosophy of education. As I will argue, even though philosophy of education is an applied philosophy, the philosophical nature of what we do should not be underestimated. Even more strongly, I will contend that philosophy of education is more philosophical than nonapplied philosophies. In the end, I will use the notion of “becoming philosophical” in order to shed light on educational philosophy’s philosophical distinctness, and to show how the current state of the philosophy of education curriculum, as well as the variety of successful teaching roles taken on by philosophers of education, result from this particular distinctiveness.
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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 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.042 |
| Scholarly communication | 0.010 | 0.015 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.011 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".