Comparative Philosophy and the Liberal Arts: Between and Beyond—Educating to Cultivate Geocitizens
Bibliographic record
Abstract
Abstract: In this paper, I critically engage the meaning of creating multicultural, diverse communities on Liberal Arts campuses through comparative philosophy with a feminist orientation, speaking to theory on undergraduate liberal arts education, my own research and teaching. In Teaching to Transgress: Education as the Practice of Freedom, bell hooks remarks that the “call for a recognition of cultural diversity, a rethinking of ways of knowing, a deconstruction of old epistemologies, and the concomitant demand that there be a transformation in our classrooms, in how we teach and what we teach, has been a necessary revolution—one that seeks to restore life to a corrupt and dying academy” (29–30). Teaching comparative philosophy can be pivotal in this revitalization of the academy and can also contribute to one of the fundamental goals of education in the liberal arts in particular—that of educating world citizens or “geocitizens,” who are prepared to make significant contributions to the multicultural world we live in. I draw on Japanese philosophy, through Watsuji Tetsuro in particular, and on Luce Irigaray's feminist philosophy as well as on current scholarship in liberal arts education to suggest that comparative philosophy can play a pivotal role in fostering the development of ethical geocitizens.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.024 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| 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".