Small Business and Social Enterprise: To Thrive Not Fail
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
<p>Small businesses (those with up to 99 employees) are the most common business type in Canada – comprising 97.9 per cent of businesses, and contributing close to one-third of Canada’s gross domestic product (GDP). Yet a significant number of these businesses fail, with only about 50 per cent lasting at least five years, according to Industry Canada. Social enterprises – businesses that provide valuable products or services while delivering social and sometime environmental returns – struggle even more than small businesses to attract finance, grow, and sustain. What are the similarities and differences between these two groups’ needs, and how can Canada’s three levels of government and the broader business ecosystem better support small businesses and social enterprises to thrive? This paper takes a comprehensive look at key business needs, barriers to success, enabling factors, and policy incentives, drawing upon academic literature, studies and reports from the government, non-profit, and social enterprise sectors, as well as recommendations from business advocacy groups primarily from Canada and the United States. </p><p><strong>Keywords: </strong>Small business, social enterprise, business financing, business growth, business ecosystem, procurement policy</p>
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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.002 | 0.002 |
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