Bibliographic record
Abstract
Within the framework of the research of the local rural economy, developed by VIAPI named after. A.A. Nikonov, an analysis of small rural businesses in Canada was carried out based on the Rural Canada Business Profiles Database. The latest data at the time of writing the article, 2019, is taken as the basis for the analysis (updated as of March 2022). It was revealed that the small rural business in Canada is more developed than in Russia and more diversified. Thus, in terms of the density of rural business, classified as small, per 100 people of the rural population, Canada surpasses Russia by almost 2 times, which indicates more favorable conditions created in Canada. Also, if in Russia small enterprises specializing in scientific and technical activities are extremely rarely located in rural areas, in Canada almost 8% of the total number of rural small business units are specialized in this activity. In addition to agriculture, construction and retail trade – industries traditionally attractive for rural small businesses in Russia as well, in Canada rural small businesses are more involved in providing personal services to the population, renting and selling real estate. The article analyzes the financial ratios of rural and urban small businesses in Canada. It is revealed that rural small businesses are comparable in financial performance to urban ones, are less indebted.
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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".