Wicked Problems, Dynamic Solutions: The Ecosystem Approach and Systems Thinking
Bibliographic record
Abstract
This sourcebook accompanies the Massive Open Online Course (MOOC) on the Ecosystem Approach and Systems Thinking (EAST) developed by the Loyola Sustainability Research Centre at Concordia University, Montreal, and the United Nations Environment Programme (UNEP) in Nairobi, Kenya. The sourcebook is written for both teacher and student, though it is assumed that most of its readers will be teachers who are applying the MOOC to a hybrid class (blended learning) or are offering the MOOC to students and/or professionals in various branches of public administration, civil society, or the private sector. Each module is described in terms of the main learning objectives, a short introduction to the topic, a summary of prevalent policy initiatives and interventions, a list of suggested “discussion points” that can guide classroom or online discussions/debates, an annotated bibliography of some key sources that have been suggested by our subject experts, and a list of exciting websites, TED talks, and other Internet material that students can easily access for more information. A premium is put on brevity in this sourcebook: each module is dealt with in under fifteen pages. The actual MOOC contains far more material, including visual aids to the concepts and case study material. Each module is designed to take roughly four hours to complete for students in the MOOC; reading each module’s section in the sourcebook should take considerably less time. We have also refrained from including images, graphs, and other infographics in the sourcebook, since they are prominent features in the MOOC itself.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".