Some psychological determinants of broad union attitudes
Bibliographic record
Abstract
Many societies are grappling with how to reduce high levels of economic inequality. Although often overlooked, labor unions can have significant flattening effects on inequality. However, unions are not highly supported by the general public. To provide some psychological explanation as to why this may be the case, we examined five potential predictors of general union attitudes (i.e., political orientation, prejudice toward union members, meritocratic beliefs, union knowledge and social mobility beliefs). We tested each variable at least twice across three studies (two in the U.S., one in Canada, total N = 1756). Results indicated that stronger political conservative orientation, prejudice feelings towards union members and less accurate knowledge of union activities uniquely explained lower pro-union attitudes across studies. Meritocratic and social mobility beliefs did not meaningfully explain union attitudes. Although mostly correlational, this research provides insight into potential reasons why everyday citizens may support or condemn unions in an increasingly unequal world. Implications for altering union attitudes and support for related policies are discussed.
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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 | 0.001 | 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 | 0.000 |
| 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".