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Record W2284734465

"Elder Law" and Conflicts of Interest in the United States and Canada

2013· article· en· W2284734465 on OpenAlexaboutno aff
James H. Pietsch, Margaret Hall

Bibliographic record

VenueeYLS (Yale Law School) · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicFamily and Matrimonial Law
Canadian institutionsnot available
Fundersnot available
KeywordsLawSalience (neuroscience)Political scienceInternational lawContext (archaeology)Comparative lawMunicipal lawSociologyPsychologyGeography
DOInot available

Abstract

fetched live from OpenAlex

This article considers the problem of conflicts of interest in elder law in the context of a larger discussion about elder law as a bounded legal subject. The problem of conflicts of interest is not particular to elder law. Conflicts, intentional and unintentional, have a special salience in this context, however. That salience is intensified by the expanded scope of "elder law" to include other classes of vulnerable clients, such as persons with disabilities. Despite the significance of conflicts as a real, perceived, or potential issue in this context, the issue has received relatively scant attention and discussion. This inattention to conflicts has distorted perceptions of elder law within the wider legal community, with unfortunate consequences for the development of elder law as a discrete field of practice and research. This article considers the issue of conflicts in the elder law discourse from both an American and Canadian perspective. Core practice areas for American elder law (areas not readily transportable to non-American jurisdictions) are areas in which the conflicts issue is especially prominent. From an international perspective, a perception may be created of elder law as a peculiarly American practice area, and one which is rife with real and potential conflicts that elder law practitioners-and those who would export the model-may prefer to ignore. This dynamic has frustrated the development of elder law as an international, multi-faceted, and interdisciplinary area of law. Confronting the issue of conflicts in elder law is an important first step in continuing the coherent development of elder law (perhaps within a rubric of law, policy and aging) as a bounded legal subject.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.958
Threshold uncertainty score0.199

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)0.0000.000

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 head0.030
GPT teacher head0.260
Teacher spread0.230 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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
Published2013
Admission routes1
Has abstractyes

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