Global Civil Society Is Not Utopian, But Feasible: The World After the COVID-19 Pandemic
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
At the beginning of 2020, the COVID-19 Pandemic has swept the world, which raises the awareness of global governance and global civil society. This paper attempts to prove global civil society is feasible and analyses its main functions during the period of resistance of the COVID-19 Pandemic. The paper unfolds in four parts. The First part is a brief introduction to the question this paper tends to address after the COVID-19 Pandemic. After that, it is the definition of civil society. Civil society can be defined as a complementary arena for state and market to ensure common welfare and public good through non-violent, voluntary and bottom-up process. However, this definition encompasses different connotations with the passage of time. In the third part, it states that civil society is inevitably globalized in the challenge of globalization. Quite a number of problems go beyond borders and the reaches of states, which leaves a vacuum for a corresponding force to regulate them. Also, global social movement-the main actor of global civil society, as an important agent, ensures the economy liberalism-embedded transnational economic organizations, as the main structure of global governance, accountable. In addition, the development of convenient communication and value convergence provide the objective conditions for the emergence of global civil society. Global civil society makes transnational organizations accountable, solves problems beyond state borders and ensures the public good and welfare. In a nutshell, global civil society is an indispensable part of today’s global governance.
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.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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 it