Is it Permissible to Teach Buddhist Mindfulness Meditation in a Critical Thinking Course?
Bibliographic record
Abstract
Abstract: In this essay I set out the case for why mindfulness meditation should be included in critical thinking education, especially with respect to educating people about how to argue with one another. In 1, I introduce to distinct mind sets, the critical mind and the meditative mind, and show that they are in apparent tension with one another. Then by examining the Delphi Report on Critical Thinking I show how they are not in tension. I close 1 by examining some recent work by Mark Battersby and Jeffery Maynes on expanding out critical thinking education to be inclusive of cognitive science and decision making. I argue that their arguments for expanding critical thinking education ultimately lead to considering the relevance of meditation in critical thinking. In 2, I examine work on critical thinking by Harvey Siegel and Sharon Bailin in order to draw out different conceptions of critical thinking both from a theoretical point of view as well as a pedagogical point of view. In 3, I present criteria for selecting a form of meditation that should be taught in critical thinking courses; I argue that mindfulness meditation deriving from the Buddhist tradition satisfies the relevant criteria. I then present research from contemporary cognitive neuroscience and psychology about the benefits of mindfulness meditation as it relates to the prospects of including it in critical thinking. In 4, I consider a recent study by Noone and Hogan (2018) that suggests that mindfulness meditation does not improve a person’s ability to think critically. I argue that while the study is important, there are substantial reasons for thinking that further studies should be done, as the authors themselves conclude. In 5, I move on to the issue of how meditation can be useful for improving performance in one important area of critical thinking: mitigating stereotype threat. My focus here is on examining the hypothesis that stereotype threat effects performance in critical thinking, and that negative impacts from stereotype threat can be mitigated by meditation. In 6, I summarize my argument for including meditation into critical thinking education, and close by discussing three important objections.
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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 | 0.008 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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".