The innovation work environment of high–tech SMEs in the USA and Canada
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 study examined the climate for innovation and creativity, and related outcome measures, in 31 Canadian and 11 US small– and medium–sized enterprises (SMEs), as assessed by 120 R&D engineers in those firms. Prior studies on the innovativeness of countries have been critical of Canadian firms compared to those in other industrialized countries. Our study tested whether differences existed between perceived climates, creativity and productivity of US and Canadian SMEs. The results indicated that the innovative climates and the perceptions of creativity and productivity of US and Canadian firms are very similar. Furthermore, the most important factors relating to creativity (Challenging Work and Organizational Encouragement) were the same for both the USA and Canada. Our conclusion is that support for innovation in Canadian SMEs is comparable with that of US SMEs. Differences in innovation measured at the national level can probably be attributed to other factors, such as industry structure and the degree of innovation in large firms.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it