COVID-19 Solar Disinfectant in Kuthambakkam, India – A Model of the Framework for Strategic Sustainable Development in Marginalised Communities
Bibliographic record
Abstract
Using the Framework for Strategic Sustainable Development (FSSD) as an analytical tool, this work examines the sustainability decision making in an Indian village. Kuthambakkam – through the efforts of Elango Rangasamy – has become a site of value for understanding how sustainable development concepts can be applied successfully in an actual developing world scenario. The FSSD, including the concepts of ‘The Funnel’, back-casting and the principle based definition are used to analyse the Kuthambakkam case. This identifies how the decision-making process and actions in the panchayat provide a unique and valuable model of leadership for sustainability – with well-being as a goal. A decentralised, solar-powered disinfectant production method pioneered by Elango is the main project that is examined for this article. The model is currently operated by women’s self help groups in several locations within and nearby to the village – including a large scale production at a vital vegetable market. As the priority of the leadership – or end goal of the funnel – is the well-being of disadvantaged people, the results show superior alignment with sustainability principles compared to decisions made by leaders in corporations and the developed world.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".