MétaCan
Menu
Back to cohort
Record W98103576

The Problem of Partisan Experts and the Potential for Reform through Concurrent Evidence

2013· article· en· W98103576 on OpenAlex
David A. Sonenshein, Charles Fitzpatrick

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venue˜The œReview of litigation · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsAdversarial systemLawContemptJuryPolitical scienceGermanCivil procedureCompetence (human resources)Ex partePsychology
DOInot available

Abstract

fetched live from OpenAlex

I. INTRODUCTION 2II. THE PROBLEM OF EXPERT BIAS 3A . Payment of Experts Leads to Biased Testimony 6B. Partisan Preparation of Experts Leads to Biased Testimony 11C. Lack of Jury Competence and Limited Access to Expert 's Background Contribute to the Problem of Expert Bias .... 14D. Perceived Bias Breeds Contempt for Expert Witnesses .... 1 6E. Lack of Uniform Ethical Guidelines Creates Environment for Biased Testimony 18III. FAILED EFFORTS AT REFORM IN THE UNITED STATES 20A. Frye and Daubert 20B. Court-Appointed Experts and Other Failed Efforts at Reform 251. Science Courts and Expert Judges 252. Court-Appointed Experts 26a. Reasons Against Using Court-Appointed Experts 291. Lack of Necessity 292. Respect for the Adversarial System 303. Impracticality 324. The Availability of Technical Advisors 33IV. FOREIGN MODELS FOR DEALING WITH EXPERT BIAS 36A. Typical Civil Law (Inquisitorial) Systems 361. German Use of Court- Appointed Experts 362 . French Use of Court- Appointed Experts 403. Italian Use of Court- Appointed Experts 44a. Civil Proceedings 44b. Criminal Proceedings 454. German, French, and Italian Systems Do Not Provide Useful Models for Reform of U.S. Courts 46B. Adversarial Legal Systems 511. English System 512. Canadian System 53a. Federal Court 53b. Provincial Courts 54V. AUSTRALIAN USE OF CONCURRENT EVIDENCE MAY PROVIDE A MODEL FOR EFFECTIVE REFORM IN U.S. COURTS 55A. Problem of Expert Bias in Australian Courts 57B. The Concurrent Evidence Procedure 59C. Supplemental Reforms 60D. Benefits of Concurrent Evidence 61VI. CONCLUSION 63I. INTRODUCTIONIn the United States, expert witnesses are selected, paid, and prepared by the parties to the litigation. In this Article, we will explain why this system often leads to biased and partisan testimony from experts and explore several possible options for reform.In Part II, we will examine how the American adversarial system and its allowance for party payment and preparation of expert witnesses lead to an inevitable and unavoidable danger of partisan bias in expert testimony. We will also explain why this problem is exacerbated by a lack of jury competence in evaluating expert testimony and has led to contempt for experts amongst lawyers, judges, and those professional groups from which experts are often chosen. Finally, we will show that the lack of uniform ethical guidelines for testifying experts opens the door to biased testimony.In Part III, we will demonstrate that, although the problem of expert bias has long been recognized, past efforts for reform have been either ignored or proven inadequate. We will focus a large portion of this section on the widespread call for an increase in the use of court-appointed experts as well as some of the reasons that this practice has not become more prevalent.In Part IV, we will explore the possibility of American courts adopting a system akin to those in the civil law universe of continental Europe, including the regimes used in Germany, France, and Italy, whereby expert witnesses are appointed by the courts. These systems aim for neutral and independent expert testimony. We will argue that the use of court-appointed neutral experts - with some modifications which acknowledge the imperatives of the adversarial system - might provide a model for effective reform. We will then turn to the adversarial systems of England, Canada, and Australia. Despite sharing a legal tradition with the United States, we will show that the English system offers relatively little that could improve the use of expert witnesses in this country, but that the procedures used in the Canadian provincial system offer some intriguing ideas for reform. …

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.952
Threshold uncertainty score0.489

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
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 head0.056
GPT teacher head0.396
Teacher spread0.341 · 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