Inaugural editorial post COVID-19 global society: issues, challenges and edging forward
Bibliographic record
Abstract
The COVID-19 pandemic outbreak in the later part of 2020 resulted in enormous social and economic disruption leading to a quick transformation of global society. A health crisis that interrupted the lives of every individual across the globe, soon changed in to a human, economic and social crisis. All segments of the society irrespective of their status and privilege experienced the challenges posed by COVID-19 pandemic, however the marginalized and vulnerable populations including people living in poverty situations, older persons, persons with disabilities, youth, and indigenous peoples in developing, less developed and lower- and middle-income countries had the greater impact on their lives and livelihood. Furthermore, homeless population, people effected by war and conflict, people without access to running water, refugees, migrants, or displaced population continues to face the aftermaths of the pandemic.
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 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 | 0.007 | 0.036 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.013 | 0.018 |
| Insufficient payload (model declined to judge) | 0.034 | 0.033 |
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".