Decarbonisation and Critical Materials in the Context of Fraught Geopolitics: Europe’s Distinctive Approach to a Net Zero Future
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
The race to rapidly decarbonise and digitalise the global economy by 2030 to avoid temperatures rising above 1.5C has been subsumed by geopolitics that remains anchored in realist power struggles, now revolving around Sino-American hyper-competition. The Russian invasion of Ukraine further undermined interdependence and prompted unprecedented levels of economic statecraft. Access to indispensable minerals for a net zero future has thus become more securitised. The European Union (EU) has pushed back against bipolar geopolitics by utilising its normative, economic and regulatory power and strong networks of global institutional relations to maintain a competitive but working relationship with the People’s Republic of China (PRC). Such an approach may help broker broader global institutional collaboration to ensure that decarbonisation is for all, not just for the few.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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