Beyond market, firm, and state: Mapping the ethics of global value chains
Bibliographic record
Abstract
Abstract The growth of global value chains (GVCs) and the emergence of novel forms of value chain governance pose two questions for normative business ethics. First, how should we conceptualize the relationships between members of a GVC? Second, what ethical implications follow from these relationships, both with respect to interactions between GVC members and with respect to achieving broader transnational governance goals? We address these questions by examining the emergence of transnational eco‐labeling as an increasingly prominent form of GVC governance that is redefining the relationship between nominally independent firms. On the first question, we argue that GVCs occupy a middle ground between intrafirm and interfirm transactions, thereby posing a challenge to theoretical frameworks that attempt to apply ethical standards based on transaction types. On the second question, we argue that this unique institutional status leads to a range of novel ethical considerations and dilemmas for GVC members. Lead firms, their suppliers, and third‐party standard‐setters all confront new ethical quandaries when third‐party eco‐labeling is introduced to a GVC. The nature of these quandaries means that, while GVCs may be well‐positioned to serve as instruments of transnational governance, they are frequently not well‐oriented to do so. Our analysis marks an initial attempt to map the ethical considerations that apply to members of a GVC, and in doing so, places the literature on normative business ethics and transnational governance in a closer conversation.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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".