Dual process theory and the context of choice: Comments on Dhar and Gorlin
Bibliographic record
Abstract
Abstract Dhar and Gorlin show that default‐interventionist dual‐process theory differentially classifies several effects in the consumer choice literature and makes differential predictions across a variety of manipulations. One of the most startling differential classifications in their model is that it drives a wedge between the attraction and enhancement effects, because they arise from System 1 and System 2, respectively. System‐2 bias effects explain why sometimes less complex organisms (nonhumans, human children) can display more normative behavior than human adults. Such a finding does not at all undermine the heuristics and biases research tradition, as is sometimes argued.
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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 | 0.015 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.025 |
| Scholarly communication | 0.006 | 0.021 |
| Open science | 0.007 | 0.005 |
| Research integrity | 0.022 | 0.030 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".