Locating Culture in the Brain and in the World
Bibliographic record
Abstract
Abstract Cultural neuroscience explores the interplay between the social transmission of knowledge and the functional organization of the nervous system. However, much current cultural neuroscience simplifies culture into categories and constructs. The operationalization of culture as categories and traits that can be measured using questionnaires or priming techniques often lacks cultural validity. Moreover, treatment of culture as a set of fixed and even hard-wired traits has the potential to reify and essentialize differences between groups that are better understood as culturally constructed, fluid, and context-dependent. We argue that culture is better conceived of in terms of interactional processes rather than categories and demonstrate how a more nuanced understanding of culture in cultural neuroscience can contribute to an understanding of mind, self, and emotion as embodied, socially embedded, and situated or enacted in specific contexts, opening up new directions for research with greater potential relevance to issues of health and social disparity.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".