Bibliographic record
Abstract
Maps vii Introduction xv Chapter 1 The Four Essentials 1 Food, Water, Energy, Metals Chapter 2 Geographical Flashpoints 19 The Trouble with Lines on a Map Chapter 3 The Key Players 37 Diggers, Drillers, and Dealers Chapter 4 Food and Water 57 Where the Rivers Run Chapter 5 Going Out for Energy 73 China and India Stake Their Claims Chapter 6 Old Coal Still Burning Brightly 91 Chapter 7 Going Nuclear in a Post-Fukushima World 105 Chapter 8 New Energy Clean, Green, and Expensive 123 Chapter 9 Coppery Red, the Colour of Earth s True Love 139 Chapter 10 Finding Steel s Essential Ingredients 155 Chapter 11 U.S. Energy 173 Hail to the Shale Chapter 12 Japan after the Deluge 189 Chapter 13 BRACQK (Brazil, Russia, Australia, Canada, Qatar, Kazakhstan) Is the New BRIC 203 Chapter 14 The Up and Comers 229 Turkey, Iran, Indonesia, Mexico Chapter 15 What Happens Next 243 A Host of Global Opportunities Conclusion 257 A World So Changed Bibliography 263 Acknowledgments 269 About the Author 273 Index 275
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.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.075 | 0.015 |
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".