Commentary on: 'Toward a Theory of Agency and Altruism in Family Firms.'
Bibliographic record
Abstract
The article titled 'Toward a theory of agency and altruism in family firms' by Schultz et al. uses the agency theory to better understand the dynamics of family firms. However, it is sometimes confusing as to whether the authors are attempting to further develop agency theory or whether they are using an innovative approach to understanding the dynamics of family business. The authors also over-simplify some of the more defining concepts of agency theory such as power and the conceptualization of motivation as driven solely by self-interest. This is especially problematic because it tends to treat economic exchanges independent of the constraining forces of the social context within which they occur. Though the paper enhances our understanding of family dynamics, two assumptions made in this paper should be examined in future research: first, the behavior of family members is critical to a firm's performance, and second, that firms are assumed to have agency problems.(VRS)
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".