Heterologous and Homologous Perspectives on the Relation Between Morality and Organization
Bibliographic record
Abstract
Organization studies of morality have paid scant attention to theorizing the relation between morality and organization before engaging in empirical work, which has resulted in inconsistent and incompatible theories implicitly entailed in different empirical studies. In this article, I distinguish between two theoretical perspectives regarding this relation—heterologous and homologous—based on whether morality and organization are viewed as distinct and independent from one another or orders of intertwined constitution. I discuss the implications of taking each perspective for research question and design, and show how the choice of theoretical perspective leads to starkly different conclusions about a single phenomenon. I also illustrate these arguments in the case of studying the recent rise of private military and security industry. To conclude, I highlight the theoretical and methodological contributions of the distinction between heterologous and homologous perspectives and discuss future avenues that it opens for organization research on morality.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".