Emotions and human concern: Adult education and the philosophical thought of Martha Nussbaum
Bibliographic record
Abstract
This article argues that philosopher Martha Nussbaum's reflections on the role of the emotions in human flourishing can contribute in important ways to our understanding of the emotions in adult education contexts. The article summarises Nussbaum's exploration of the contributions of classical philosophers like Socrates, Aristotle, and Epicurus to our understanding of the emotions and then reflects on the implications of her more anthropological and psychoanalytical assessment of human emotionality for adult education. Broadly, the paper concurs with Nussbaum's argument that the emotions are a form of cognition through which we think about things that are deeply important to us but that are beyond our control. The fact of our essential neediness and vulnerability as human beings needs to be deeply appreciated if adult educators hope to sustain a meaningful and emancipatory social purpose for their field.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".