SAICE infrastructure report card for South Africa 2011
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
We report the investigation, using a multi-disciplinary approach, of five cases of dismembered limbs which were recovered from Lake Ontario, Lake Erie and the Niagara River, and examined at the Office of the Chief Coroner for Ontario. In all cases, postmortem examination revealed that the limbs had been disarticulated in the postmortem period, by non-human taphonomic processes. In addition to routine gross examination, the femur and/or tibia were assessed using anthropological methods to give estimates of the sex, age, race and stature of the individual. The anthropologic data facilitated the identification of one of the cases. In all cases, nitric acid extracts of the femoral bone marrow were prepared and examined for the presence of diatoms. In all instances, diatom frustules were recovered from marrow extracts, indicating that drowning was the cause of death or at least a significant contributing factor in the cause of death. The use of the diatom test was helpful in excluding the possibility that the limbs were dismembered from individuals who had died by means other than drowning, and had been subsequently 'dumped' into water. The application of anthropological methods and the diatom test for drowning may significantly enhance the medico-legal investigation of body parts recovered from water, and we present an overview of useful techniques here. Anthropological data may facilitate identification, and the diatom test may establish a cause of death.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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