GLOBAL STRUCTURE AND OPERATING STATUS OF SOCIAL STOCK EXCHANGES - COMPARATIVE ANALYSIS
Bibliographic record
Abstract
Social Stock Exchanges provide a forum for several financing sources, including CSR, philanthropy, and impact investing, to work together and support nonprofit organisations with a social objective. A social stock exchange acts as a meeting place for social organisations and investors with shared values and interests. Several countries, notably the United Kingdom, Brazil's Socio-Environmental Impact Exchange, and Jamaica, Canada, and Singapore, already have active social stock exchanges. It is at the development stage in India, and SEBI, the regulatory body, has acted swiftly to address the situation by establishing working groups and technical groups to investigate and examine the situation and provide appropriate recommendations. The primary purpose of this article is to use a descriptive study approach to examine the functioning of various SSEs across the globe. So, The Indian Social Stock Exchange may benefit from suggestions made in light of knowledge of the activities of other SSEs around the world. KEYWORDS: Impact Investing, Social Stock Exchange, Social Enterprises, Non-Profit Organisations
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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 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".