A CONTEXTUAL APPROACH TO THE ADMISSIBILITY OF THE STATE'S FORENSIC SCIENCE AND MEDICAL EVIDENCE
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.
Bibliographic record
Abstract
This article examines the admissibility of forensic science and medicine in criminal proceedings. In Part ii, we explain how reliability-based admissibility standards in the United States have been unevenly applied to expert evidence in civil and criminal cases and have not prevented wrongful convictions. In Part iii, we review a recent Consultation Paper (and report) issued by the Law Commission of England and Wales. Though focused on the need for ‘sufficiently reliable’ expert opinion evidence, we challenge its contemplation of easier admissibility for experience-based forensic sciences and techniques traditionally admitted. In Part iv we examine the evolving law on the admissibility of expert evidence in Canada. In response, we argue that while front-end reforms to the organization and practice of forensic science and medicine, advocated by the Goudge Inquiry and the American National Academy of Sciences, appear more promising than reliance on the adversary system, the gate-keeping role of trial judges should be strengthened. In the concluding section, we contend that threshold reliability standards should be grounded in criminal-justice system values, emerging empirical insights about the weakness of the adversarial trial and be sensitive to the particular evidence and its use, rather than applied mechanically using simplistic models of science and expertise.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it