AAFS (Victorian branch) Symposium: Science and Medicine in the Courts—Learning from the wrongful conviction of Kathleen Folbigg
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
Kathleen Folbigg spent 20 years in jail, wrongly convicted for smothering her four infant children. An unprecedented second judicial Inquiry found they died naturally. New genetic and psychiatric evidence unlocked the wrongful conviction, but it was always questionable. A Symposium held by the AAFS (Victorian Branch) detailed the timeline of the numerous events, then identified and discussed the issues. What were the failings and why were they missed? What part did expert witnesses, judges and lawyers play in this wrongful conviction? Did the prosecution appeal to misogyny? How did the first Inquiry get it so wrong? How did it fail to correctly understand the genetics? Was Ms Folbigg treated disrespectfully, and if so, what did that mean about fact finding? How did the failures of disclosure affect the original conviction and its various appeals? What explains the NSW Court of Appeal’s decision to reject an appeal based on jury misbehaviour during Ms Folbigg’s trial? Should we be more careful about the language we use in criminal trials? There was general agreement that the frailties of Kathleen Folbigg’s convictions were readily visible from the beginning. Will the criminal justice system learn the lessons that emerge from this case?
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 | 0.014 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it