Should Firms Go “Beyond Profits”? Milton Friedman versus Broad CSR<sup>1</sup>
Bibliographic record
Abstract
ABSTRACT When attempting to articulate the nature and scope of corporate social responsibility (CSR), a variety of opinions emerge. The primary CSR issue appears to be: Should firms go “beyond profits”? In order to address this normative question, this article will explore the theoretical underpinnings of CSR and its practical application. Part one of the paper begins by discussing common CSR definitions. Part two outlines the CSR debate in terms of the “narrow view” of CSR (as represented by Milton Friedman) versus the “broad view” (i.e., beyond profits). Part three applies both the narrow and broad approaches to CSR in analyzing two classic business and society cases: (1) the Ford Pinto; and (2) Merck's river blindness pill. The article concludes with a proposed synthesis of the CSR approaches 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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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".