Bibliographic record
Abstract
The importance of small business performance cannot be ignored. Small business enterprises encourage expansion and prosperity of the Canadian economy and have helped to secure a more stable position for Canada in the economic recession. This paper seeks to extend the findings of Robson and Bernard (2007) and Okpara and Wynn (2007) related to barriers to small business growth. This study utilised survey research (a non-experimental field study design). Small business owners from Western Canada were surveyed in order to gather information. Subjects were asked about their beliefs and feelings regarding factors that affect the performance of their small businesses. The findings of this paper indicate that lack of financing, market challenges, and regulatory issues are perceived as factors that negatively affect the performance of small business in Canada. The results also show that sales level of small firms (‘past success’) has positive impact on small business performance in Canada. This paper brings empirical evidence to the studies of factors affecting small business performance. In addition, it offers useful insight into the non-financial measures of success. The findings may be useful for the Canadian governments and small business management advisors.
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 | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 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 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".