Bibliographic record
Abstract
Citation (2014), "Acknowledgements", Occupy the Earth: Global Environmental Movements (Advances in Sustainability and Environmental Justice, Vol. 15), Emerald Group Publishing Limited, Bingley, p. vii. https://doi.org/10.1108/S2051-503020140000015014 Publisher: Emerald Group Publishing Limited Copyright © 2014 Emerald Group Publishing Limited The editors would like to thank their friends and families for their support during the making of this book. We would also like to thank all of the contributors, and Commissioning Editor Aimee Nixon and the Emerald Group team. This book is dedicated to our children, in the hope that they may see a better future. Book Chapters Occupy the Earth: Global Environmental Movements Advances in Sustainability and Environmental Justice Occupy the Earth: Global Environmental Movements Copyright Page Acknowledgements List of Contributors Introduction One Global Movement, Many Local Voices: Discourse(s) of the Global Anti-Fracking Movement Japan’s Evolving Civic Environmentalism Environmental Protest in Ireland Locating Environmental Knowledge in Antipollution Movements of Northern India The Mayangna Resolve to Save the Rainforest, their Homelands Environmental Campaigns in Israel and their Spatial Impacts Exploring Ideology as a ‘Resource’ for Environmental Justice Activism: Reflections from the Anti-GMO Movement in France The Art of Contestation and Legitimacy: Environment, Customary Communities, and Activism in Indonesia From Disparate Action to Collective Mobilization: Collective Action Frames and the Canadian Food Movement Implications of the Environmental Justice Movement on Redistributive Urban Politics: An Example from Megacity Dhaka, Bangladesh Spiritual Ecology as an International Environmental Movement Bird Hunting in European Malta: A Case of ENGO Empowerment? About the Contributors
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.016 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.559 | 0.482 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".