Deconstructing wisdom through a cultural lens: Folk understandings of wisdom and its ontology in the Philippines and Sri Lanka
Bibliographic record
Abstract
In many contemporary societies, misinformation, epistemic arrogance, and intergroup conflict pose serious threats to social cohesion and well-being. Wisdom may offer a potential antidote to these problems, with a recently identified Common Wisdom Model (CWM) suggesting that wisdom involves epistemic virtues such as intellectual humility, openness to change, and perspective-taking. However, it is unclear whether these virtues are central for folk concepts of wisdom in non-Western contexts. We explored this question by conducting focus group discussions with 174 participants from the Philippines and Sri Lanka, two countries facing socio-political and economic challenges. We found that epistemic themes were common in both countries, but more so when participants were asked to define wisdom in general terms rather than to describe how it is acquired or expressed in daily lives. Moreover, epistemic themes were more prevalent among Filipino than Sri Lankan participants, especially when the questions posed were abstract rather than concrete. We discuss how these findings relate to the CWM and the socio-cultural contexts of the two countries, and suggest that a question format should be considered in cross-cultural research on wisdom.
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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 | 0.000 | 0.000 |
| 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 | 0.001 |
| 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".