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Record W4312166857 · doi:10.5539/jpl.v16n1p64

The Evolution and Development Trend of the American Federal Rules of Evidence – Inspiration for China's Evidence Legislation

2022· article· en· W4312166857 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.

venuePublished in a venue whose home country is Canada.
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

VenueJournal of Politics and Law · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicJury Decision Making Processes
Canadian institutionsnot available
Fundersnot available
KeywordsFederal Rules of EvidenceLegislationPromulgationEmpirical evidenceDiscretionLawPolitical scienceChinaScope (computer science)Evidence-based practiceRules of evidenceLaw and economicsEconomicsMedicine

Abstract

fetched live from OpenAlex

It has been nearly 50 years since the promulgation of the Federal Rules of Evidence in 1975. What changes have taken place in the Federal Rules of Evidence for a long time? For the evidence legislation in China, it is a very noteworthy issue. Through historical analysis and comparative research, we can find that the development of the Federal Rules of Evidence can be roughly divided into two stages: the first is the exploratory stage, during which the Federal Rules of Evidence were neglected and Congress continued to be actively involved. The second is the rapid development stage, during which the Advisory Committee on the Rules of Evidence were established and the number and quality of revisions steadily increased. The following major trends can be seen in the development of the Federal Rules of Evidence: Congress was replaced as the primary body responsible for updating the Federal Rules of Evidence by a special Advisory Committee on the rules of Evidence; the Rules of Evidence's form changed from fragmented common law to systematic codification; the exclusionary rule's scope of exceptions and judges' discretion gradually expanded; the level of procedural safeguards increased; and the Rules of Evidence were influenced by the development of electronic evidence and the Internet. For the development of China's evidence law, what can be inspired is that we need to systematize and codify the evidence rules, establish a special evidence law committee, strengthen the procedural guarantee, and pay attention to the evidence rules in the digital age.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.791
Threshold uncertainty score0.788

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.122
GPT teacher head0.390
Teacher spread0.268 · 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