Rural Livelihoods, Regional Economies, and Processes of Change
Bibliographic record
Abstract
1. Introduction: Rural livelihoods and processes of change Deborah Sick 2. 'We Will Not Farm Like Our Fathers Did': Multilocational livelihoods, cellphones, and the continuing challenge of rural development in western Kenya Joshua Ramisch 3. The New Face of the Countryside: Agriculture and generational livelihood strategies in rural Costa Rica Deborah R Sick 4. On the Ends of the Diversification Spectrum: Macro-level factors and Maasai livelihood pathways in contemporary Kenya Caroline Archamault, Scott Matter, and John G. Galaty 5. A Place That Found Its Brand: Kyoto's agricultural economy in the twenty-first century Greg De St. Maurice 6. Balancing Conservation and Over-Exploitation: Rural economies, protected areas and sea cucumber fisheries in Yucatan, Mexico Sabrina Doyon and Catherine Sabinot 7. Livelihood Strategies, Ecotourism and Changing Environmental Values in a Costa Rican Village Josephine Howitt 8. Ethicizing Rural Livelihoods in a Market-Oriented Society: Lessons from a quilombola community in Sao Paulo, Brazil Rodrigo Penna-Firme Pedrosa 9. Bypassing the National, Engaging the Global: (Re)negotiating terms of global belonging in the Balinese handicrafts industry Jennifer S Esperanza 10. Networks, Collaboration, and Embeddedness: How small rural businesses mobilize social resources in local and global markets, a Canadian case Nathan Young
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".