Bibliographic record
Abstract
In the previous article in this issue (S Afr J Sci. 2022;118(11/12), Art. #13165), the emergence and spread of COVID-19 pari passu with climate change and planetary degradation were interpreted as late manifestations in the trend towards gradual decline into disorder (entropy) in an unstable and ecologically threatened planet. In this article, as we contemplate a post-COVID world, the question is whether new insights could generate courageous, prescient leadership towards new paradigms of health, politics, economics, society, and our relationship with nature. A gloomy prognosis is postulated because of the power of many impediments to such changes, both in an increasingly polarised world and in South Africa as a microcosm. Despite many squandered opportunities and a decline in local and global cooperation between all who have a stake in the future, some hope is retained for innovative shifts towards sustainable futures. Significance: Precarious local and global instabilities are vivid reminders of our interconnectedness with each other and with nature. Insights into local and global threats and opportunities, call for paradigm shifts in thinking about and taking action towards a potentially sustainable future in a country that has its own unique history and problems but is also a microcosm of the world. The impediments to making appropriately constructive paradigm shifts in many countries with their tendencies to authoritarianism that threaten peace and democracy, are even more complex in South Africa, where opportunities for dialogue and cooperation are diminishing. Retaining some hope, with vision and courage for innovative shifts towards a sustainable economic/ecological paradigm locally and globally, is arguably essential.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.009 | 0.011 |
| Insufficient payload (model declined to judge) | 0.009 | 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".