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Record W1607624043 · doi:10.4324/9780203798416

Rural Livelihoods, Regional Economies, and Processes of Change

2014· book· en· W1607624043 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsLivelihoodEmbeddednessRural areaGeographyPolitical scienceEconomic growthAgricultureEconomySociologyEconomicsSocial science

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.313
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.068
GPT teacher head0.284
Teacher spread0.216 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations12
Published2014
Admission routes1
Has abstractyes

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