Corporate personhood: Lay perceptions and ethical consequences.
Bibliographic record
Abstract
Modern conceptions of corporate personhood have spurred considerable debate about the rights that society should afford business organizations. Across eight experiments, we compare lay perceptions of how corporations and people use rights, and also explore the consequences of these judgments. We find that people believe corporations, compared to humans, are similarly likely to use rights in protective ways that prevent harm but more likely to use rights in nonprotective ways that appear independent from-or even create-harm (Experiments 1a through 1c and Experiment 2). Because of these beliefs, people support corporate rights to a lesser extent than human rights (Experiment 3). However, people are more supportive of specific corporate rights when we framed them as serving protective functions (Experiment 4). Also as a result of these beliefs, people attribute greater ethical responsibility to corporations, but not to humans, that gain access to rights (Experiments 5a and 5b). Despite their equitability in many domains, people believe corporations and humans use rights in different ways, ultimately producing different reactions to their behaviors as well as asymmetric moral evaluations. (PsycINFO Database Record
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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 | 0.007 | 0.044 |
| 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 | 0.006 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".