Armchair versus Armchair: Let’s Not Try to Guess the Social Value of Corporate Objectives
Bibliographic record
Abstract
A COMMENTARY ON Thomas M. Jones and Will Felps (2013a), “Shareholder Wealth Maximization and Social Welfare: A Utilitarian Critique,” Bus Ethics Q 23(2): 207–238, http://doi.org/10.5840/beq201323215 Jones and Felps claim that social welfare would be enhanced, if corporate managers adopted the goal of directly improving the happiness of their stakeholders instead of profit maximization. I argue that their argument doesn’t establish this. They show that a utilitarian case for profit orientation cannot be made from the armchair. But neither can the case for Jones and Felps’ preferred alternative. And their defense of it relies on empirically unsubstantiated assumptions.
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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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.019 |
| Scholarly communication | 0.008 | 0.013 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.012 | 0.017 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".