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Record W3127138027 · doi:10.37773/ees.v4i1.377

The Economics of Common Pool Resources

2021· article· en· W3127138027 on OpenAlex
Bhim Adhikari

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEcology Economy and Society–the INSEE Journal · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLand Rights and Reforms
Canadian institutionsInternational Development Research Centre
Fundersnot available
KeywordsCommon-pool resourceCommonsDevolution (biology)LivelihoodCommon propertyWork (physics)Institutional analysisCorporate governanceNew institutional economicsProperty rightsResource (disambiguation)BusinessPublic economicsEconomicsPolitical scienceFinanceMicroeconomicsEngineeringGeographySociologyComputer scienceLaw

Abstract

fetched live from OpenAlex

The paper analyses open access and common property resource systems drawing insights from new institutional economics, especially property rights theory and policy analysis. This analysis of common pool resources (CPRs) under common property regimes indicates that local communities devise formal and informal institutions in managing the local commons. The paper further discusses how N. S. Jodha’s empirical work on the economics of CPRs has enhanced our understanding of the role of CPRs in the livelihood strategies of the poor in the developing world. Devolution of authority to local resource users is emphasized as an institutional imperative in designing appropriate forms of governance structures for CPR management.

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 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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.765
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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.182
Teacher spread0.174 · 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