The Difference¶
Page, S. E. 2. (2007). The Difference: How the Power of Diversity Creates Better Groups, Firms, Schools, and Societies. Princeton University Press.
Cited by¶
6 citations across 6 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Bottom-Up Perspectives
- Agile and Holacracy in organizational design, user-centered design and lean-startup methodology in product, open-source communities and peer-production, grassroots activism and community organizing, participatory democracy (citizens' assemblies, participatory budgeting), participatory action research in social science, learner-centered pedagogy and project-based learning, people's history and history-from-below (Howard Zinn, E.P. Thompson, subaltern studies)
This sourceFormal treatment of how diverse perspectives/heuristics outperform homogeneous high-ability groups given adequate aggregation; supports the general bottom-up aggregation-of-diverse-local-inputs principle underlying the Broad Use enumeration. NOTE: the FACT marker sits at the 'people's history / history-from-below' item, which Page does not specifically treat — loose fit (see flag).
- Agile and Holacracy in organizational design, user-centered design and lean-startup methodology in product, open-source communities and peer-production, grassroots activism and community organizing, participatory democracy (citizens' assemblies, participatory budgeting), participatory action research in social science, learner-centered pedagogy and project-based learning, people's history and history-from-below (Howard Zinn, E.P. Thompson, subaltern studies)
- Diversity
- Division of Labor
- Self-Organized Criticality
- Organizational resilience is often strengthened by tolerating internal debate, experimentation, and cognitive diversity, an effect Page (2007) demonstrates in his analysis of how cognitive diversity outperforms uniform expert groups on complex problems.
This sourceFormal complexity-science treatment of how differentiated perspectives, heuristics, interpretations, and predictive models combine to outperform homogeneous high-ability groups on hard problems. Treats cognitive division of labor as a substrate-independent structural invariant whose payoff depends on diversity-of-tools and adequate aggregation (re-integration) machinery.
- Organizational resilience is often strengthened by tolerating internal debate, experimentation, and cognitive diversity, an effect Page (2007) demonstrates in his analysis of how cognitive diversity outperforms uniform expert groups on complex problems.
- Variation Strategies
- A homogeneous population can deploy variation strategies; a diverse population might fail to do so if it lacks mechanisms to explore and learn from its diversity, a distinction Page (2007) develops in showing that diversity yields collective benefit only when paired with mechanisms that translate heterogeneity into search.
This sourceFormal complexity-science treatment of how differentiated perspectives, heuristics, interpretations, and predictive models combine to outperform homogeneous high-ability groups on hard problems. Treats cognitive division of labor as a substrate-independent structural invariant whose payoff depends on diversity-of-tools and adequate aggregation (re-integration) machinery.
- A homogeneous population can deploy variation strategies; a diverse population might fail to do so if it lacks mechanisms to explore and learn from its diversity, a distinction Page (2007) develops in showing that diversity yields collective benefit only when paired with mechanisms that translate heterogeneity into search.
- Wisdom of the Crowds
- The accuracy gain is fundamentally a variance-reduction phenomenon: pooling N independent estimates of equal variance reduces the variance of the mean by a factor of N, a relationship Page (2007) formalizes in the diversity-prediction theorem, where collective error equals average individual error minus the diversity of the predictions.
This sourceFormal complexity-science treatment of how differentiated perspectives, heuristics, interpretations, and predictive models combine to outperform homogeneous high-ability groups on hard problems. Treats cognitive division of labor as a substrate-independent structural invariant whose payoff depends on diversity-of-tools and adequate aggregation (re-integration) machinery.
- The accuracy gain is fundamentally a variance-reduction phenomenon: pooling N independent estimates of equal variance reduces the variance of the mean by a factor of N, a relationship Page (2007) formalizes in the diversity-prediction theorem, where collective error equals average individual error minus the diversity of the predictions.
Verification¶
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