MétaCan
Menu
Back to cohort
Record W4213184069 · doi:10.7202/1027042ar

Fruit Salad

2014· article· en· W4213184069 on OpenAlexaffvenue
Roderick A. Macdonald

Bibliographic record

VenueRevue générale de droit · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsMcGill University
Fundersnot available
KeywordsProperty (philosophy)Property rightsLaw and economicsOrthodoxyValue (mathematics)Property lawIntellectual propertyAlienationCapital (architecture)Civil codeRevenueLawEconomicsPolitical sciencePhilosophyEpistemologyMathematicsHistoryAccounting

Abstract

fetched live from OpenAlex

In orthodox theory, the law of property is held to be fundamentally about the identification and protection of rights in things (corporeal property), assumed to be finite in space and infinite in time. But modern economies undermine the explanatory power of this orthodoxy four ways. First, the space of property can no longer be easily fixed once and for all. This is especially the case for incorporeals but is also true of corporeals. Second, the time of property is now understood differently. The past distinction between fruits and products has been questioned with the recognition that fruits, like products, can also diminish capital value. Third, the close association of fruits and revenues is becoming untenable. Many types of revenue actually represent the price of a partial alienation and can, consequently, be considered proceeds. Finally, developments both material (like genetic engineering) and intellectual (like moral rights) challenge the idea of property as a thing to use. While the theory of property in Book IV of the C.C.Q. continues to reflect traditional spatio-temporal assumptions, the law of secured transactions in Book VI rests on an alternative vision of property as value. This essay deploys a detailed analysis of the idea of fruits to illustrate how today the Civil Code balances distinctions between fruits, products and accessions (property as thing) on the one hand and between revenues, capital and proceeds (property as value) on the other.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.440
Threshold uncertainty score0.799

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.4400.132

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 head0.018
GPT teacher head0.277
Teacher spread0.259 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2014
Admission routes2
Has abstractyes

Explore more

Same venueRevue générale de droitSame topicLegal principles and applicationsFrench-language works237,207