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 live in a digital age. The proliferation of digital technology, and the convergence of computing and communication devices, has transformed the way in which we socialise and do business. While overwhelmingly positive, there has also been a dark side to these developments. Proving the maxim that crime follows opportunity, virtually every advance has been accompanied by a corresponding niche to be exploited for criminal purposes; so-called 'cybercrimes'. Whether it be fraud, child pornography, stalking, criminal copyright infringement or attacks on computers themselves, criminals will find ways to exploit new technology. The challenge for all countries is to ensure their criminal laws keep pace. The challenge is a global one, and much can be learned from the experience of other jurisdictions. Focusing on Australia, Canada, the UK and the US, this book provides a comprehensive analysis of the legal principles that apply to the prosecution of cybercrimes.
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 | 0.000 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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