An examination of the social economy: some new theoretical insights
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
Purpose The purpose of this paper is to analyze social profit institutions (SPIs) in the context of the social economy. By drawing on case studies of existing businesses, this paper attempts to situate these businesses more broadly within the social economy. Design/methodology/approach Various case studies are investigated to illustrate the innovative features of each model through a Lean Canvas tool. Findings The findings of the paper provide academics and social entrepreneurs alike more clarity on some of the evolving defining attributes and design features of each of the models SPIs employ. Research limitations/implications One of the future challenges is to devise a framework or categorization system that encompasses all of the new forms of businesses, and hybrids, in a way which reflects their uniqueness and individual design. Practical implications It allows for entrepreneurs in search of a sustainable business model to develop innovative business models and it provides better understanding on how to meet dual objectives. Originality/value The paper proposes a definition for SPIs and establishes the importance of classifying SPIs.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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