MétaCan
Menu
Back to cohort
Record W3141959051 · doi:10.1017/9781009374712

Economic Analysis of Property Rights

2023· book· en· W3141959051 on OpenAlex

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

VenueCambridge University Press eBooks · 2023
Typebook
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Institutions
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsTransaction costProperty rightsDistribution (mathematics)Property (philosophy)Database transactionValue (mathematics)Law and economicsEconomicsEconomic analysisMicroeconomicsEconomic modelIndustrial organizationPublic economicsEconomic systemBusinessComputer scienceClassical economicsMathematics

Abstract

fetched live from OpenAlex

The standard neoclassical model of economics is incapable of explaining why one form of organization arises over another. It is a model where transaction costs are implicitly assumed to not exist; however, transaction costs are here defined as the costs of strengthening a given distribution of economic property rights, and they always exist. Economic Analysis of Property Rights is a study of how individuals organise resources to maximise the value of their economic rights over these resources. It offers a unified theoretical structure to deal with exchange, rights formation, and organisation that traditional economic theory often ignores. It explains how transaction costs can be reduced through reorganization and, in the end, how the distribution of property rights that exists is the one that maximizes wealth net of these transaction costs. This necessary hypothesis explains much of the puzzling organizations and institutions that exist now and have existed in the past.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.940
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.031
GPT teacher head0.187
Teacher spread0.157 · 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