Societal Learning and Change: How Governments, Business and Civil Society are Creating Solutions to Complex Multi-Stakeholder Problems
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
Constructing roads in Madagascar; forestry along Canada's Pacific Coast; water and sanitation projects in South Africa; community banking in the United States; constructing a new global system for corporate reporting. These all have something in common. They provide great illustrations of the types of profound and wise changes needed in the way we run our affairs if we are to respond to the scale of environmental and social challenges and opportunities facing us. They are examples of learning and change. Today, this phenomenon is occurring across industries as diverse as resources extraction, infrastructure development, agriculture and information technology at the local, national, regional and global levels. Its essence involves the ability to create rich relationships that bridge large differences. This book describes this phenomenon for practitioners to help them address issues and develop opportunities more effectively. Building on the traditions of individual and organizational learning, this book suggests that our challenge is to create learning societies and processes. This involves both change in ourselves as individuals, but also change in the way the three key systems that make up our societies – the political system (government), economic system (business) and social system (civil society) – function by creating more robust interactions that respond to human and environmental imperatives rather than organizational ones. Societal Learning and Change presents a meta-framework that covers diverse approaches, including corporate citizenship, social responsibility, community development, private-public partnerships, inter-sectoral collaboration and sustainability strategies. It makes sense of all of these by emphasising that they all share the need to change relationships at the societal level and explaining how to do this from a systems perspective. The book helps overcome the conundrum where individual organisations are unsuccessfully trying to achieve big change with their stakeholders. Rather than stakeholder management with an organization-centric viewpoint, this book describes the importance of taking a stakeholder engagement and issue/opportunity-centric strategy. Wherever you are, you can make a contribution to shifting the paradigm through a societal learning and change strategy. The critical contribution is creating new relationships between people and organizations that traditionally would not interact but in fact have common interests. When these relationships become meaningful by addressing a problem or developing an opportunity, people begin to learn about each other and develop mutual appreciation and understanding. Often this process is complicated and confusing. People do not use words in the same way even if they speak the same formal language; they do not learn or perceive the world the same way although they may share a common culture; their organizations have diverse goals, resources and weaknesses that make working together problematic. However, it is these very differences that are the source of the value of working together. Societal Learning and Change aims to make it easier to solve differences in order to work together successfully; it does this by identifying some of the differences as sources of tension and opportunity and describing the development processes of building relationships that can produce mutually rewarding innovation that is unimaginable when the relationship begins. This is an extremely optimistic book at a time of great pessimism about the huge forces of globalization and corporate power that seem to be overwhelming us. It will be essential reading for students and practitioners in the fields of organizational learning, sustainability, poverty, international development and stakeholder relations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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