Reply to Edmond & Roach and Susan Haack's Replies to Law's Treatment of Science: From Idealization to Understanding
Bibliographic record
Abstract
I am grateful to Professors Edmond and Roach1 and Professor Haack2 for their thoughtful replies to my paper, Law's Treatment of Science: From Idealization to Understanding. Much like my experience after reading Contextual Approach to the Admissibility of the State's Forensic Science and Medical Evidence,3 and Haack's contributions,4 I have come away from reviewing Edmond and Roach and Haack's replies with a heightened awareness that the admissibility of scientific evidence is significant and complicated. Both replies have raised important concerns that have demanded further attention from me, which I turn to here. My response to Edmond and Roach's Reply is in Part I below, followed by my response to Haack's Reply in Part II.I. Reply to Edmond and Roach1. The asymmetrical demonstrable reliability approachIn ACA, Edmond and Roach argued that Crown expert evidence should be subject to a more onerous admissibility standard than defence expert evidence. In their Reply, Edmond and Roach notably deemphasize the asymmetrical approach that they advocate in ACA. In their recap of the position they advanced in ACA, Edmond and Roach comment that the asymmetrical aspects of their approach were qualified.5 Later in the Reply, the authors note that a slightly higher admissibility standard will have a range of system benefits regardless of whether it is applied asymmetrically or symmetrically,6 again destressing their asymmetrical approach. In addition, they express confusion over why I endorse the Goudge Recommendations, but not the approach they argue for in A CA, remarking that [i]n practice, the differences between the Goudge recommendations and our own proposal are...relatively minor.7 But the Goudge Inquiry Report did not recommend an asymmetrical model. By suggesting that their approach is not significantly different from the Goudge Inquiry approach, Edmond and Roach further diminish the importance of the asymmetrical aspect of their proposal.I acknowledge that in ACA, Edmond and Roach take note that their asymmetrical approach may not find widespread support, and that if that is the case, then they could live with an across the board application of demonstrable reliability for admissibility. But their argument in ACA undoubtedly calls for an asymmetrical approach to admissibility of expert evidence. In ACA, Edmond and Roach introduce their argument as follows:We are supportive of more demanding standards for the admissibility of expert evidence. Indeed, we go beyond current legal practice and proposals for reform to argue for demonstrable reliability whenever the state adduces expert evidence to support a criminal conviction (or induce a plea)...,4? the same time, we would recommend that expert evidence adduced by the defense need only satisfy a basic reliability threshold, but would require that judges apply admissibility standards in a robust contextual fashion even should our asymmetrical proposal, which places higher standards on the state, not find favour.8Throughout ACA, Edmond and Roach insist that their demonstrable reliability standard should be applied to incriminating expert evidence, clearly demonstrating the asymmetry of their approach. Indeed, they criticize the Law Commission of England and Wales for rejecting an asymmetrical admissibility model.9 The asymmetrical approach was also advocated in Edmond's paper, Pathological Science? Demonstrable Reliability and Expert Forensic Pathology Evidence, which was prepared as a research paper for the Goudge Inquiry. There, Edmond explained:The basic contention is that courts should not admit expert evidence adduced by the prosecution unless there are good grounds for believing that the evidence is reliable. Expressed more precisely, judges should not admit expert evidence adduced by the prosecution unless that evidence is demonstrably reliable.10It is not until their final remarks in ACA that a symmetrical approach is again given a brief mention. …
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".