The connected world: breaking the rules by working across boundaries for peace, social justice and sustainable enterprise
Bibliographic record
Abstract
We live in a strange age, in a paradoxical world. On one hand the open society allows information and communication to flow continuously around the world, and enough tariffs have been lowered and trade liberalised for most people to purchase globally traded goods. This world is awash with contact and connectivity. This world is also characterised by the liberal use and abuse of the Earth's energy resources and by surplus food supplies. But in another world about two billion people have not yet made or received a telephone call and many people are denied the two fundamental human rights: freedom from fear and freedom from want. The science of climate change makes it clear, whether we like it or not and whether we agree on how why it has happened, we are on the edge of a fundamental shift in our relationship with the planet. The climate change data is now indisputable, even if the causes of global warming are disputed. Climate change will have a disproportionately a greater effect on the poor but it will affect us all. Through global trade, increased travel and easy communications we also know enough about the world to understand how interdependent we are. Through Roundtables in Sustainable Enterprise we have been reaching across boundaries between people whether they be professional, sectoral, intellectual or cultural. Conversational learning means putting people together who might not normally meet to talk about a given subject. In our case we have brought people together to discuss sustainable enterprise. The composition of our Roundtables is necessarily random and disparate. Since January 2007 we have run eight roundtables in London, Cape Town and Toronto and a conference for 130 people from 19 countries. In all we have involved nearly 200 people.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.025 | 0.086 |
| Scholarly communication | 0.037 | 0.046 |
| Open science | 0.003 | 0.029 |
| Research integrity | 0.012 | 0.014 |
| Insufficient payload (model declined to judge) | 0.013 | 0.004 |
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 source (direct Gemma or distilled Codex), 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".