Bibliographic record
Abstract
<p class="a">By development of computer networks, computer -related crime spreading immoral that had negative impact on social systems including families and organizations and, more children were invaded by, the spread of computer crimes in the third world called cultural invasion.</p><p class="a">Committing dishonest acts in ignorance or belief that the right to intervene in the operation of computer systems or data entry, or data deletion, or the messages. those committed acts does not categorize in fraud documentary, if the aforementioned act intended to endamage business rivals and if there is no property gained then that act does not categorize in fraud documentary too. Motivation and intention of act does not impact on kind of crime realization. E-commerce law states in Article 67: (perpetrator is punishable if committed as a result of using fraudulent means, personal or automated processing systems deceived in order to gain a person’s property. For this reason, the mere intention to resort to dishonest means and education funds, property or privileges, is not sufficient to fulfill the offense.</p>
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.
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 | 0.000 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".