Bridging cultural sociology and cognitive psychology in three contemporary research programmes
Bibliographic record
Abstract
Three prominent research programmes in cognitive psychology would benefit from a stronger engagement with the cultural context of cognition: studies of poverty focused on scarcity and cognitive bandwidth, studies of dual-processmorality and stud- ies of biases using the implicit association test. We address some limitations of these programmes and suggest research strat- egies for moving beyond an exclusive focus on cognition. Research on poverty using the cognitive bandwidth approach would benefit from considering the cultural schemas that influence how people perceive and prioritize needs. Dual-process morality researchers could explain variation by analysing cultural repertoires that structure moral choices. Research using the implicit association test can better explain implicit attitudes by addressing the variability in cultural schemas that undergird biases. We identify how these research programmes can deepen the causal understanding of human attitudes and behaviours by address- ing the interaction between internal cognition and supra-individual cultural repertoires.
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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 | 0.034 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.014 | 0.011 |
| Science and technology studies | 0.007 | 0.094 |
| Scholarly communication | 0.018 | 0.029 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.006 | 0.011 |
| Insufficient payload (model declined to judge) | 0.006 | 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".