Bibliographic record
Abstract
The article provides a meaningful analysis of domestic and foreign websites, which reflects up-to-date information about the peculiarities of civil activism and public solidarity during the COVID-19 pandemic in such countries as: Great Britain, Canada, France, Australia, America, Mexico, Russia. In the course of the analysis, similar assistance programs, common motives of people to engage in volunteer activities are highlighted, and unique projects related to both the geographical location of regions and the mentality of citizens are indicated. An attempt has been made to prove that volunteering during the pandemic is an effective tool for the formation of social solidarity around the world, and its manifestation in difficult times is a necessary and effective way to preserve the social health of the population and maintain the socio-economic balance of states. It is concluded that self-isolation served as an impetus to strengthen social ties between people and led to the emergence of new forms of interaction, as well as support options for various categories of citizens. In conclusion, the statement is made about the importance of cooperation between civil activists and regional governments in terms of organizing productive interaction and providing prompt mutual assistance in the emerging challenges of unstable and rapidly changing reality.
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.
How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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; both teacher heads agree on what is shown here.
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".