Intergenerational Dialogue, Collaboration, Learning, and Decision-Making in Global Environmental Governance: The Case of the IUCN Intergenerational Partnership for Sustainability
Bibliographic record
Abstract
This article provides evidence and a rationale based on adaptive governance studies for why creating meaningful youth engagement should be understood in terms of intergenerational dialogue, collaboration, learning, and substantive decision-making in global environmental governance. We have centered our discussion on the International Union for the Conservation of Nature (IUCN), as the largest global conservation organization. Through an organizational ethnography approach, we have demonstrated how generational concerns within the IUCN have been framed in terms of participation, and then present the IUCN Intergenerational Partnership for Sustainability (IPS) as a case study of a grassroots movement that is focused on transforming the IUCN towards being a fully intergenerational global governance system for nature conservation. We have described the development of intergenerational thinking and action within the IUCN, and discussed intergenerational governance as being essential for addressing nature conservation challenges faced by local communities in times of increasing global uncertainty. We conclude by providing recommendations for enhancing intergenerational dialogue and building intergenerational governance structures within global conservation organizations.
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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 | 0.008 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".