Introducing the Family: A Review of Family Science with Implications for Management Research
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
While families have a large and undeniable impact on human behavior, management research is yet to fully embrace how aspects of families (e.g., family-member relationships, family structures, and family events) influence entrepreneurs, employees, managers, and their organizations. There is a large body of research known as family science that draws from sociology, psychology, and education and offers theories that describe families and explains important family outcomes. Management researchers have not widely exploited knowledge from family science, but it could be applied to advance management theories by answering questions about how families impact organizations and the people in them. Therefore, we review seven family science theories and leverage our review to map research agendas for how management researchers might use each theory to advance understanding of how families influence organizations and vice versa. Our review suggests a wide range of research topics in management that could advance by drawing upon family science research.
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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 | 0.010 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.004 | 0.002 |
| 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 it