Digitalisation for a Just Social Compact: Global South Lessons from 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
This policy paper responds to global and localised calls for a new social compact. It acknowledges the central role of digital inclusion and equity in mitigating the health and economic risks associated with the COVID-19 pandemic lockdowns to limit the spread of the virus. The pandemic highlighted the critical role of the digitalisation of public services and digital access to them for the effective participation of citizens in the economy and society, both during the pandemic and in postponed pandemic economic reconstruction. \n \nThis digitalisation and access is important if equitable outcomes are to be achieved. The research explores the interplay between the uneven but intensifying global processes of digitalisation and datafication, the State and the ‘formalising’ effect on the significant \ninformal sector in developing economies. As more people and firms come online, their visibility to the State is increasing; at the same time, other firms are ‘informalising’ as they start up or reconstitute themselves online. \n \nWith firms being established or moving their operations online, the global landscape \nhas been transformed into one characterised by diminished or new forms of labour, \nand firms operating without physical presence for taxation purposes and not subject \nto national law designed for the physical industrial era, nor to legal requirements to \ncontribute to social protection for workers. Obligations for worker protection have \ntherefore shifted to the State, which, in most Global South countries, already has a very \nlimited resource base. \n \nUnder pandemic and lockdown conditions the paper examines the potential of these \ndevelopments to enhance weak state formation; improve much needed revenue \ngeneration; extend social protection to unprotected platform workers; and provide \nbusiness and social relief to firms and individuals usually not visible to the State. With \nthis Global South pandemic lens and in the context of post-pandemic reconstruction, \nthis policy paper also assesses the role of digitalisation in reviving and renewing \ndemocratic governance for new and more equitable social compacts that can build the \nresilience of developing countries to better survive the next inevitable pandemic.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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