Do You Mind NSA Affair?Does the Global Surveillance Disclosure Impact Our Students?
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
In summer 2013 the discussion about security and Internet peaked when the ex-NSA man Edward Snowden uncovered secret details about his former employer NSA. Since then bad news and stories about government surveillance have come along daily worldwide. But did they change anything according to our way of working and living with the Internet? We wanted to know, whether there is a change of Internet behavior to be determined among freshmen coming to Graz University of Technology (TU Graz). On base of an annual questionnaire that is carried out by the Department of Social Learning at TU Graz since 2007 we found out that although a quarter of polled students are influenced by those disclosures there is no decrease in Internet usage to be realized compared to former years results; quite the reverse: applications working on cloud- principle like Dropbox are strongly upcoming. Apart from that, the long term survey generally mirrors new media competences and Internet usage of TU Graz freshmen. This paper discusses this years results and progressions of the survey. It targets the disclosure aspect under the special focus of cloud-applications.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| 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 it