The core competence and attitude of the small business owner-manager: A combination of cognitive, affective and psychomotor competences and attitudes
Bibliographic record
Abstract
Over the coming decade, up to 2015, nearly 80,000 Finnish small and medium-sized individual enterprises possibly with a tradition as a family business will have to find successors for their current owner-managers. The current teaching and learning of entrepreneurship do not deliver enough entrepreneurs. The curriculum at all school levels should be refreshed to meet the challenges that the future entrepreneurs have to face. The study examines the occupational competence and attitudes that small business owner-managers themselves consider essential to their work. They were given an opportunity to express their views in small focus groups of peer small business owner-managers. Consensus opinions formulated by the groups were then meticulously documented. The research approach is qualitative and the empirical data were collected through a Finnish adaptation of the Canadian DACUM model. The results expose the entrepreneurial core of the small business owner-manager. Affective and psychomotor competencies are highlighted alongside the traditionally emphasised cognitive competencies.
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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 | 0.001 |
| 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 | 0.001 |
| 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".