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Enregistrement W3126145074

Reforming Property Law to Address Devastating Land Loss

2014· article· en· W3126145074 sur OpenAlexaboutno aff
Thomas W. Mitchell

Notice bibliographique

RevueeYLS (Yale Law School) · 2014
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueProperty Rights and Legal Doctrine
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésLeasehold estateReal propertyReal estateStatuteEstatePartition (number theory)Property (philosophy)LegislationBusinessProperty lawProperty rightsLaw and economicsState (computer science)LawEconomicsFinancePolitical scienceComputer scienceMathematics
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Tenancy-in-common ownership represents the most widespread form of common ownership of real property in the United States. Such ownership under the default rules also represents the most unstable ownership of real property in this country. Thousands of tenancy-in-common property owners, including members of many poor and minority families, have lost their commonly-owned property due to court-ordered, forced partition sales as well as much of their real estate wealth associated with such ownership as a result of such sales. Though some scholars and the media have highlighted how thousands of African-Americans have lost an untold amount of property and substantial real estate wealth as a result of partition sales, partition sales also have negatively impacted a wide range of other property owners. Some scholars have estimated that Hispanics in New Mexico lost nearly two millions acres of property in that state alone soon after the end of the Mexican-American War as a result of the manner in which land claims were settled pursuant to the Treaty of Guadalupe Hidalgo. Low- to moderate- income and poor white property owners in places like Appalachia have indicated to researchers that they feel at risk of losing their property as a result of partition sales. Though partition sales of tenancy-in-common property heretofore has been identified as a phenomenon impacting exclusively rural landowners, Hurricane Katrina revealed that there are a number of vulnerable tenancy-in-common property owners in urban cities and municipalities. There are even a surprising number of middle class, white property owners who own tenancy-in-common property under the default rules in some places in this country such as in Maine.This Article, the lead article for this issue of the Alabama Law Review, reviews and analyzes the Uniform Partition of Heirs Property Act (UPHPA), a uniform act that represents the most significant reform to partition law in this country in modern times. I served as the Reporter, the person charged with principal responsibility for drafting a uniform act promulgated by the National Conference of Commissioners on Uniform State Laws, for the UPHPA. The Article summarizes those aspects of partition law that have resulted in thousands of property owners losing millions of acres of property and the real estate wealth associated with such property. The Article also provides an analysis of key sections of the UPHPA, and this analysis makes clear that the UPHPA represents a very comprehensive and innovative reform to what heretofore had long been perceived to be the intractable problem of tenancy-in-common land loss. For example, the drafters of the UPHPA drew in part on international comparative law in drafting certain sections of the UPHPA, including by drawing on the law governing exit of common ownership in countries such as Australia, Canada, England, and Scotland. Moreover, the Council of State Governments selected the UPHPA as one of thirty-five newly enacted statutes or uniform acts for inclusion in its 2013 Suggested State Legislation publication (from hundreds of submissions by state officials from across the country) to encourage states to consider it as a model. The UPHPA has been enacted into law in four states, it was introduced for consideration in four other jurisdictions in 2014, and a number of states are on the cusp of introducing it for consideration in 2015.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,007
score de la tête « metaresearch » (Gemma)0,020
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,016
Score d'incertitude au seuil0,050

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0070,020
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0020,001
Études des sciences et des technologies0,0050,009
Communication savante0,0070,010
Science ouverte0,0030,007
Intégrité de la recherche0,0080,009
Charge utile insuffisante (le modèle a refusé de juger)0,0150,003

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,026
Tête enseignante GPT0,287
Écart entre enseignants0,261 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations22
Publié2014
Routes d'admission1
Résumé présentoui

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