Are neoliberals more susceptible to bullshit?
Bibliographic record
Abstract
Abstract We conducted additional analyses of Pennycook et al.’s (2015, Study 2) data to investigate the possibility that there would be ideological differences in “bullshit receptivity” that would be explained by individual differences in cognitive style and ability. As hypothesized, we observed that endorsement of neoliberal, free market ideology was significantly but modestly associated with bullshit receptivity. In addition, we observed a quadratic association, which indicated that ideological moderates were more susceptible to bullshit than ideological extremists. These relationships were explained, in part, by heuristic processing tendencies, faith in intuition, and lower verbal ability. Results are inconsistent with approaches suggesting that (a) there are no meaningful ideological differences in cognitive style or reasoning ability, (b) simplistic, certainty-oriented cognitive styles are generally associated with leftist (vs. rightist) economic preferences, or (c) simplistic, certainty-oriented cognitive styles are generally associated with extremist (vs. moderate) preferences. Theoretical and practical implications are briefly addressed.
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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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".