Bibliographic record
Abstract
Globalization seemed like an irresistible, unstoppable force. Political plasticity seemed to be pushed to higher levels, as globalization accelerated and impacted all humankind. The development of larger units such as the European Union signaled, for many, the end of the nation state – a borderless world. Economic and technological forces seemed to be forcing globalization, and all humankind, down a one-way road. On closer examination, however, we realize that globalization has been taking place in a fractured manner: Just as economic and technological forces have been pushing us toward the global, basic identity needs have been pulling us back toward the local. Thus, just as Europe is integrating, there is Brexit and Basque and Scottish independence. Just as the North American Free Trade Agreement comes into place, there is Quebec nationalism and the effort by Quebec nationalists to break away from the rest of Canada. The deglobalization movement has been accelerated by the rise of authoritarian strongmen and their extremist nationalist supporters. As this chapter shows, it seems that basic identity needs and allegiances to local groups and nations have influenced developments, so that political plasticity remains limited in this domain.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.014 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".