Bibliographic record
Abstract
Citation (2012), "List of Contributors", Davies, A. (Ed.) Enterprising Communities: Grassroots Sustainability Innovations (Advances in Ecopolitics, Vol. 9), Emerald Group Publishing Limited, Bingley, p. ix. https://doi.org/10.1108/S2041-806X(2012)0000009002 Publisher: Emerald Group Publishing Limited Copyright © 2012, Emerald Group Publishing Limited Book Chapters Enterprising Communities: Grassroots Sustainability Innovations Advances in Ecopolitics Advances in Ecopolitics Copyright Page Dedication List of Contributors List of Reviewers Acknowledgements Chapter 1 Introduction: Sustainability, Innovation, Enterprise and the Grassroots Chapter 2 Sustainability Impacts and Grassroots Enterprises Chapter 3 Waste and Community Enterprises in Ireland: Co-operation, Collaboration and the Formation of the Community Resource Network Chapter 4 Low Impact Development: Radical Housing Solutions from the Grassroots Chapter 5 Sustainable Housing: A Case Study of the Cloughjordan Eco-Village, Ireland Chapter 6 Making Power Differently: Exploring the Motives and Meanings of Community Renewable Energy Development in Cases from the UK and South Korea Chapter 7 Grassroots Gardening Initiatives: Community Gardens in Berlin Chapter 8 Community-Based Conservation as Grassroots Sustainability Enterprise? Sea Turtle Egg Harvesting in Ostional, Costa Rica Chapter 9 The Totnes Pound: A Grassroots Technological Niche Chapter 10 Conclusion: Sustaining Grassroots Sustainability Enterprise: Challenges and Opportunities
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 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 | 0.019 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.672 | 0.645 |
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".