A Comparative Analysis of SME Friendly Public Procurement: Results from Canada, Hungary and Italy
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
This paper studies SMEs’ participation in public procurement in light of perceived barriers and expected benefits of accessing the public marketplace. It presents a comparative analysis of SMEs’ participation in three countries that share similar approaches to SME-friendly public procurement. A common survey protocol was developed to be administered to SMEs in the three countries. Data collected were then analysed using regression methods. Findings suggest that some issues that are typically considered critical barriers, namely administrative requirements and award based on lowest price do not hinder participation. However, findings also suggest that firms’ characteristics associated with size are still relevant hindrances, and that SMEs’ involvement are affected by a shortage of tangible (human and financial) and intangible resources (experience). These findings provide guidance to fine-tune public procurement policies directed to SMEs.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| 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 it