Diplomacy, Globalization and Heteropolarity: The Challenge of Adaptation
Bibliographic record
Abstract
Globalization is the defining historical process of our times, conditioning, if not determining, outcomes across vast swathes of human activity. At the same time, a heteropolar world is emerging, one in which various and competing sources of power and influence are based more on difference than on similarity. In the face of these transformative forces, diplomacy is struggling to evolve. To date, none of the key elements of the diplomatic ecosystem – the foreign ministry, the Foreign Service, or the diplomatic business model – have adapted well, or quickly enough. If diplomacy is to achieve its full potential as a non-violent approach to the management of international relations and global issues through political communications, then radical reform will be required. These observations are particularly apt in Canada, where diplomatic performance has in recent years been troubled. The foreign ministry (formerly DFAIT), still struggling to absorb the deep cuts contained in the federal budget of March 2012, finds itself in the midst of a complicated merger with the aid agency (formerly CIDA). This unanticipated amalgamation has resulted in significant uncertainty and dislocation in both organizations, and is reminiscent of the disastrous split, and then re-integration, of the foreign and trade ministries 2004-06. Canadian public and digital diplomacy, widely considered to represent the leading edge of diplomatic practice, have been wound down as a result of the imposition of centralized control over all communications. The Foreign Service, for its part, remains locked in a protracted and acrimonious labour dispute over pay equity. Rotating strikes and working to rule have taken a toll on business and tourist arrivals, foreign student enrolment and high-level visits. In short, Canada’s diplomatic ecosystem is in a perilous state, and Canadian interests are suffering.In the age of globalization and heteropolarity, this won’t do.
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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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.066 |
| Scholarly communication | 0.014 | 0.017 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".