The role of education in promoting circular economy
Bibliographic record
Abstract
The environmental problems caused by a linear economy system and the exploitation of natural resources have been known well over 50 years. Although a great deal has been done, there is a contradiction between increasing consumerism and the concrete actions that have been taken. A lot more needs to be done immediately to stop catastrophic global change and adopt circular economy mindset and system. The most profound way to promote this transformation is to involve all people through education. Starting in pre-school and continuing all the way to university, education is the best way to enable the transition from a linear economy to a circular economy. In this article, we describe how a project to implement circular economy teaching in the Finnish education system was carried out. We also show that the teaching development should be started from the bottom up with teachers, as opposed to top-level planning bodies. The first target in Finland´s circular economy education programme was to focus on today’s school pupils and university students. However, this is not enough. There is an increasing need to involve everyone in working life to increase their circular economy skills. The aim is that everyone is a circular economy expert.
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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 | 0.001 | 0.001 |
| 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 | 0.000 | 0.001 |
| Open science | 0.001 | 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".