Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Foreword: John P. Kretzmann Introduction Section I: Communities mobilizing assets and driving their own development 1 Possibilities for income-deprived but capability-rich communities in Egypt 2 God created the world and we created Conjunto Palmeira: four decades of forging community and building a local economy in Brazil 3 Building the Mercado Central: Asset Based Community Development and community entrepreneurship in the USA 4 The Jambi Kiwa story: mobilizing assets for community development in Ecuador 5 When bamboo is old, the sprouts appear: rekindling local economies through traditional skills in Hanoi, Vietnam 6 By their own hands: two hundred years of building community in St Andrews, Nova Scotia, Canada 7 The hardware and software of community development: migrant infrastructure projects in rural Morocco 8 A spreading banyan tree: the Self Employed Women's Association, India 9 People's institutions as a vehicle for community development: a case study from Southern India 10 Jansenville Development Forum: linking community and government in the rural landscape of the Eastern Cape Province, South Africa Section II: ABCD in Ethiopia, Kenya and the Philippines 11 Stimulating Asset Based and Community Driven Development: lessons from five communities in Ethiopia 12 Reviving self-help: an NGO promotes Asset Based Community Development in two communities in Kenya 13 From DCBA to ABCD: the potential for strengthening citizen engagement with local government in Mindanao, the Philippines 14 Conclusion Index
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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.006 |
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 it