Sociopolitical Sustainability - The Pendulum at Globalisation's Frontiers
Bibliographic record
Abstract
Companies, governments and the civic sector need strong cooperative relationships with each other in order to thrive. The need is greatest at globalization's two frontiers. The first frontier is typified by rural areas in developing countries where government and civic organizations are scarce. The second frontier is at the global level where we have no co-ordinating institutions to deal with global problems. Corporations have succeeded in becoming the most organized entities at both these frontiers, but are discovering that economic growth is impeded by the absence of the other two sectors. The socio-political risk are too high and the human and social resource are too undeveloped. Helping build human and social capital takes up company resources, but less than dealing with uninformed, dysfunctional or culture-shocked communities. To move from socio-political risk to socio-political sustainability, companies must help strengthen governments and civic sector organizations at these two frontiers.
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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 | 0.009 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.041 |
| Scholarly communication | 0.016 | 0.024 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.006 | 0.010 |
| 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".