Analysing the Social Economy Business Survey Index (S-BSI): Development, Features, and Effectiveness in Social Economy Policymaking and Evaluation
Bibliographic record
Abstract
This study delves into the Social Economy Business Survey Index (S-BSI), a tool designed to monitor the social and economic value generated within the social economy (SE) to furnish vital insights for timely public policy interventions. The study aims to comprehensively analyze the S-BSI, encompassing its development, distinctive features, and effectiveness as an advanced instrument for policymaking and evaluating the SE policy. The research methodology comprises an in-depth analysis of the S-BSI's development process, followed by multiple comparative analyses of similar surveys on a domestic and international scale. Furthermore, the study utilizes qualitative evaluation techniques grounded in the next-generation public policy framework for the SE sector. This multifaceted research approach aims to offer a holistic understanding of the S-BSI, delivering valuable insights tailored for policymakers and stakeholders engaged in shaping public policies for the SE.
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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 | 0.092 | 0.207 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.011 | 0.018 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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; 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".