On the possibility of a normative account of corporate trust
Bibliographic record
Abstract
Philosophers have had much to say about the moral obligations arising from trust. These obligations involve, predominantly, interpersonal relationships. But what can we say about the moral relevance of trust in institutional settings? In this paper, we consider the particularised approach to trust and its focus on interpersonal relationships and argue that it is far from clear whether this is the kind of relationship that persons can have with respect to firms. For a particularised view of trust to be applicable to firms, firms must be seen as institutions that are to some extent distinct from their individual members. They would also have to be fitting targets and sources of reactive attitudes in morally relevant trust relationships. Such an account of trust in firms is not as yet forthcoming. To inspire future work on trust and firms, we take note of an argumentative strategy in the literature on corporate agency that lets us conceive of firms as appropriate targets and/or sources of reactive attitudes. In so far as this strategy turns out to have empirical efficacy, we suggest it may also prove fruitful for thinking about trust in relation to firms.
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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 | 0.009 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.021 |
| Scholarly communication | 0.011 | 0.017 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".