Introduction: Minervian Actors and the Paradox of Post-1995 Global Institution Building
Bibliographic record
Abstract
Since the early 1990s, humanity has faced unprecedented challenges of coordination and governance. In addition to traditional security dilemmas and the increasingly complex management of the global economy, we are challenged by a growing list of pressing global issues that cannot be addressed by market mechanisms alone. These issues include climate change, environmental and biodiversity preservation, global food safety, population health and pandemics, cultural preservation, human rights, and human security. The functional need for cooperation among key states, as well as the rising plethora of non-state actors, may be higher than ever in human history. In a nutshell, humanity is at a crossroads. It enjoys historically high levels of prosperity, peace, and interdependence. Yet, it will be able to preserve these levels only if it is able to provide for indispensable global public goods and minimize pressing global public risks (Attali 2011; Flahault 2011; Malloch-Brown 2011; Ruby 2010).
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 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".