Learning to be enterprising in school through an inquiry-based pedagogy
Bibliographic record
Abstract
In the French-speaking province of Québec in Canada, entrepreneurship was officially introduced into the Québec Education Program (QEP) in 2001. Entrepreneurship is viewed there as a learning tool associated with the conduct of entrepreneurial projects; that is, student-led action projects that respond to a community need by creating a good, offering a service or organizing an event. The purpose of this article is to report on an investigation conducted into a school shop at primary school level to document what it means to learn to be enterprising in school. The results show that, to learn to be enterprising (i.e. to learn to plan and implement an action project), pupils have to be fully engaged in the creation of the shop and in the inquiry processes to be conducted. Thus they need to be able to identify problems arising, analyse the environment, devise solutions and implement them. Moreover, learning to be enterprising entails learning through being enterprising. Two main learning points were enabled by the inquiry processes based on the school shop experience: (1) the integration of multiple disciplinary contents from the QEP, and (2) critical reflection on society.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".